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Stormwater runoff is a major concern in urban areas which is mostly the result of vast urbanization. To reduce urban stormwater runoff and improve water quality, low impact development (LID) is used in urban areas. Therefore, it is vital to find the optimal combination of LID controls to achieve maximum reduction in both stormwater runoff and pollutants with optimal cost. In this study, a simulation–optimization model was developed by linking the EPA Storm Water Management Model (SWMM) to the Multi-Objective Particle Swarm Optimization (MOPSO) using MATLAB. The coupled model could carry out multi-objective optimization (MOO) and find potential solutions to the optimization objectives using the SWMM simulation model outputs. The SWMM model was developed using data from the BUNUS catchment in Kuala Lumpur, Malaysia. The total suspended solids (TSS) and total nitrogen (TN) were selected as pollutants to be used in the simulation model. Vegetated swale and rain garden were selected as LID controls for the study area. The LID controls were assigned to the model using the catchment characteristics. The target objectives were to minimize peak stormwater runoff, TSS, and TN with the minimum number of LID controls applications. The LID combination scenarios were also tested in SWMM to identify the best LID types and combination to achieve maximum reduction in both peak runoff and pollutants. This study found that the peak runoff, TSS, and TN were reduced by 13%, 38%, and 24%, respectively. The optimal number of LID controls that could be used at the BUNUS catchment area was also found to be 25.
Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Mohammad Amin Dayarian; Abu Hanipah Ramli; Sumiani Yusoff. Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization. Environmental Monitoring and Assessment 2021, 193, 1 -22.
AMA StyleAbdul Razaq Rezaei, Zubaidah Ismail, Mohammad Hossein Niksokhan, Mohammad Amin Dayarian, Abu Hanipah Ramli, Sumiani Yusoff. Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization. Environmental Monitoring and Assessment. 2021; 193 (4):1-22.
Chicago/Turabian StyleAbdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Mohammad Amin Dayarian; Abu Hanipah Ramli; Sumiani Yusoff. 2021. "Optimal implementation of low impact development for urban stormwater quantity and quality control using multi-objective optimization." Environmental Monitoring and Assessment 193, no. 4: 1-22.
Implementation of data mining (DM) techniques in different areas of civil engineering has recently given very good results. However, application of DM in structural health monitoring (SHM) is not used as much as expected, thus, many challenges are still ahead. Therefore, it seems a vital need is required to develop the applicability of DM in SHM. To this end, the current study attempts to present a DM-based damage detection methodology using modal parameter data, which trained by means of a hybrid artificial neural network-based imperial competitive algorithm (ANN-ICA). Likewise, the hybrid ANN is optimized by a new optimization-based evolutionary algorithm, called ICA, to predict the severity and location of multiple damage cases obtained from experimental modal analysis of intact and damaged slab-on-girder bridge structures. Furthermore, the applicability of DM approach was developed to detect the hidden patterns in vibration data using Cross Industry Standard Process for DM (CRISP-DM) tool. The performance of the model was carried out using comparison of a pre-developed ANN and ANN-ICA model.
Meisam Gordan; Hashim Abdul Razak; Zubaidah Ismail; Khaled Ghaedi; Zhi Xin Tan; Haider Hamad Ghayeb. A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining. Applied Soft Computing 2019, 88, 106013 .
AMA StyleMeisam Gordan, Hashim Abdul Razak, Zubaidah Ismail, Khaled Ghaedi, Zhi Xin Tan, Haider Hamad Ghayeb. A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining. Applied Soft Computing. 2019; 88 ():106013.
Chicago/Turabian StyleMeisam Gordan; Hashim Abdul Razak; Zubaidah Ismail; Khaled Ghaedi; Zhi Xin Tan; Haider Hamad Ghayeb. 2019. "A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining." Applied Soft Computing 88, no. : 106013.
Classical damage detection methods such as visual inspections have many limitations, i.e. time consuming procedure, costly process and ineffective for large and complex structural systems. To overcome these difficulties, a data mining-based damage identification approach is developed in this study. First four natural frequencies which obtained from the experimental modal analysis of a slab-on-girder bridge structure are used as an input database. The laboratory work is carried out through single-type and multiple-type damage scenarios. The applicability of machine learning, artificial intelligence and statistical data mining techniques are here examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to predict the model behavior and damage severity. Then, a hybrid algorithm is proposed in the deployment step of Cross Industry Standard Process for Data Mining (CRISP-DM) model. According to the obtained results, the hybrid algorithm performs a better accuracy in compare to ANN technique itself.
Meisam Gordan; Zubaidah Ismail; Hashim Abdul Razak; Khaled Ghaedi; Zainah Ibrahim; Zhi Xin Tan; Haider Hamad Ghayeb. Data mining-based damage identification of a slab-on-girder bridge using inverse analysis. Measurement 2019, 151, 107175 .
AMA StyleMeisam Gordan, Zubaidah Ismail, Hashim Abdul Razak, Khaled Ghaedi, Zainah Ibrahim, Zhi Xin Tan, Haider Hamad Ghayeb. Data mining-based damage identification of a slab-on-girder bridge using inverse analysis. Measurement. 2019; 151 ():107175.
Chicago/Turabian StyleMeisam Gordan; Zubaidah Ismail; Hashim Abdul Razak; Khaled Ghaedi; Zainah Ibrahim; Zhi Xin Tan; Haider Hamad Ghayeb. 2019. "Data mining-based damage identification of a slab-on-girder bridge using inverse analysis." Measurement 151, no. : 107175.
Biodiesel as an alternative to diesel fuel produced from vegetable oils or animal fats has attracted more and more attention because it is renewable and environmentally friendly. Compared to conventional diesel fuel, biodiesel has slightly lower performance in engine combustion due to the lower calorific value that leads to lower power generated. This study investigates the effect of multi-walled carbon nanotubes (MWCNTs) as an additive to the rice bran methyl ester (RBME). Artificial neural network (ANN) and response surface methodology (RSM) was used for predicting the calorific value. The interaction effects of parameters such as dosage of MWCNTs, size of MWCNTs and reaction time on the calorific value of RBME were studied. Comparison of RSM and ANN performance was evaluated based on the correlation coefficient (R2), the root mean square error (RMSE), the mean absolute percentage error (MAPE), and the average absolute deviation (AAD) showed that the ANN model had better performance (R2 = 0.9808, RMSE = 0.0164, MAPE = 0.0017, AAD = 0.173) compare to RSM (R2 = 0.9746, RMSE = 0.0170, MAPE = 0.0028, AAD = 0.279). The optimum predicted of RBME calorific value that is generated using the cuckoo search (CS) via lévy flight optimization algorithm is 41.78 (MJ/kg). The optimum value was obtained using 64 ppm of < 7 nm MWCNTs blending for 60 min. The predicted calorific value was validated experimentally as 41.05 MJ/kg. Furthermore, the experimental results have shown that the addition of MWCNTs was significantly increased the calorific value from 36.87 MJ/kg to 41.05 MJ/kg (11.6%). Also, the addition of MWCNTs decreased flashpoint (−18.3%) and acid value (−0.52%). As a conclusion, adding MWCNTs as an additive had improved the physicochemical properties characteristics of RBME. To our best knowledge, no research has yet been performed on the effect of multi-walled carbon nanotubes-additive in physicochemical property of rice brand methyl ester application so far.
Fitranto Kusumo; T.M.I. Mahlia; A.H. Shamsuddin; Hwai Chyuan Ong; A.R Ahmad; Z. Ismail; Z.C. Ong; A.S. Silitonga. The Effect of Multi-Walled Carbon Nanotubes-Additive in Physicochemical Property of Rice Brand Methyl Ester: Optimization Analysis. Energies 2019, 12, 3291 .
AMA StyleFitranto Kusumo, T.M.I. Mahlia, A.H. Shamsuddin, Hwai Chyuan Ong, A.R Ahmad, Z. Ismail, Z.C. Ong, A.S. Silitonga. The Effect of Multi-Walled Carbon Nanotubes-Additive in Physicochemical Property of Rice Brand Methyl Ester: Optimization Analysis. Energies. 2019; 12 (17):3291.
Chicago/Turabian StyleFitranto Kusumo; T.M.I. Mahlia; A.H. Shamsuddin; Hwai Chyuan Ong; A.R Ahmad; Z. Ismail; Z.C. Ong; A.S. Silitonga. 2019. "The Effect of Multi-Walled Carbon Nanotubes-Additive in Physicochemical Property of Rice Brand Methyl Ester: Optimization Analysis." Energies 12, no. 17: 3291.
An improvement on modal analysis technique is always exacerbated by the limitation on both operational modal analysis (OMA) and experimental modal analysis (EMA). In a recent year, a novel method was introduced named impact-synchronous modal analysis (ISMA) which represents a magnificent achievement in this field. The efficiency of this method as a viable option for EMA and OMA is proven in previous research. However, a quick and straightforward real-time ISMA method is desired as the current procedure is labour-intensive and time-consuming due to the lack of control on the impact timing with respect to phase angle of the disturbances. Thus, the aim of this paper is to identify the significance of phase difference information between acceleration response and cyclic load component in eliminating the disturbances through impact-synchronous time averaging. The paper presented a phase selection assessment, and the results showed that a few averages, (i.e. four averages) are sufficient to filter out the disturbances by 72–80% of dominant periodic response due to cyclic load and over 50% reduction for second harmonic, when the phase angles with respect to the impact are inconsistent for each impact applied. A better modal identification result is obtained through a straightforward way of eliminating the periodic response. Thus, the estimated frequency response function is strongly enhanced and good correlation is observed between modal extraction data and benchmark EMA result.
Zhi Chao Ong; Hong Cheet Lim; Anders Brandt; Zubaidah Ismail; Shin Yee Khoo. An inconsistent phase selection assessment for harmonic peaks elimination in operational modal testing. Archive of Applied Mechanics 2019, 89, 2415 -2430.
AMA StyleZhi Chao Ong, Hong Cheet Lim, Anders Brandt, Zubaidah Ismail, Shin Yee Khoo. An inconsistent phase selection assessment for harmonic peaks elimination in operational modal testing. Archive of Applied Mechanics. 2019; 89 (12):2415-2430.
Chicago/Turabian StyleZhi Chao Ong; Hong Cheet Lim; Anders Brandt; Zubaidah Ismail; Shin Yee Khoo. 2019. "An inconsistent phase selection assessment for harmonic peaks elimination in operational modal testing." Archive of Applied Mechanics 89, no. 12: 2415-2430.
The vast development of urban areas has resulted in the increase of stormwater peak runoff and volume. Water quality has also been adversely affected. The best management practices (BMPs) and low impact development (LID) techniques could be applied to urban areas to mitigate these effects. A quantity–quality model was developed to simulate LID practices at the catchment scale using the US Environmental Protection Agency Storm Water Management Model (US EPA SWMM). The purpose of the study was to investigate the impacts of LID techniques on hydrology and water quality. The study was performed in BUNUS catchment in Kuala Lumpur, Malaysia. This study applied vegetated swale and rain garden to assess the model performance at a catchment scale using real field data. The selected LIDs occupied 7% of each subcatchment (of which 40% was swale and 30% was rain garden). The LID removal efficiency was up to 40% and 62% for TN and TSS, respectively. The peak runoff reduction was up to 27% for the rainfall of up to 70 mm, and up to 19% for the rainfall of between 70 and 90 mm, respectively. For the longer storm events of higher than 90 mm the results were not as satisfactory as expected. The model was more effective in peak runoff reduction during the shorter rainfall events. As for the water quality, it was satisfactory in all selected rainfall scenarios.
Abdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Muhammad Amin Dayarian; Abu Hanipah Ramli; Sharif Moniruzzaman Shirazi. A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water 2019, 11, 1415 .
AMA StyleAbdul Razaq Rezaei, Zubaidah Ismail, Mohammad Hossein Niksokhan, Muhammad Amin Dayarian, Abu Hanipah Ramli, Sharif Moniruzzaman Shirazi. A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale. Water. 2019; 11 (7):1415.
Chicago/Turabian StyleAbdul Razaq Rezaei; Zubaidah Ismail; Mohammad Hossein Niksokhan; Muhammad Amin Dayarian; Abu Hanipah Ramli; Sharif Moniruzzaman Shirazi. 2019. "A Quantity–Quality Model to Assess the Effects of Source Control Stormwater Management on Hydrology and Water Quality at the Catchment Scale." Water 11, no. 7: 1415.
The recent oil price drop creates a demand for swift action within oil and gas industry to shift focus from increasing daily production rates, to optimizing existing assets in achieving growth. Industrial machinery, one of the industry’s key asset many times failed due to high amplitude vibration that contributes to accelerated wear and tear and subsequently results in high cycle fatigue failure. As such there is a need to develop a structural integrity assessment for in–service machinery for continuous and safe operation. Vibration–based method such as Experimental Modal Analysis (EMA) is widely used for damage detection on civil and piping system under stationary environment. However, in industrial applications, system shutdown is very costly. EMA is also undesirable in this case due to the dominant ambient and system disturbances on the in–service system. An alternative method called Impact-Synchronous Modal Analysis (ISMA) is developed to perform modal analysis under noisy environment. Applying the ISMA technique in de-noising the non–synchronous disturbances at upstream could generate a cleaner and static–like modal data downstream for analysis. Artificial Neuron Networks (ANN) is then applied extensively in structural damage identification purposes based on changes in modal data due to its excellent pattern recognition ability. By leveraging on the latest technologies, i.e. ISMA and ANN as proposed, it allows real–time monitoring of assets, in this case, the machines, as well as the ability to transform continuous streams of data into useful information to predict damages.
Zhi Chao Ong; Ee Teng Yap; Zubaidah Ismail; Shin Yee Khoo. Assessment on Structural Integrity of In-service Machine Using De-noised Vibrational Modal Data and Artificial Neural Network. MATEC Web of Conferences 2018, 237, 03002 .
AMA StyleZhi Chao Ong, Ee Teng Yap, Zubaidah Ismail, Shin Yee Khoo. Assessment on Structural Integrity of In-service Machine Using De-noised Vibrational Modal Data and Artificial Neural Network. MATEC Web of Conferences. 2018; 237 ():03002.
Chicago/Turabian StyleZhi Chao Ong; Ee Teng Yap; Zubaidah Ismail; Shin Yee Khoo. 2018. "Assessment on Structural Integrity of In-service Machine Using De-noised Vibrational Modal Data and Artificial Neural Network." MATEC Web of Conferences 237, no. : 03002.
As an alternative to operational modal analysis and classical experimental modal analysis (EMA), a novel method was introduced previously, namely impact-synchronous modal analysis (ISMA). The effectiveness ISMA on rotor and structural dynamic systems has been proven in previous literature. More recently, an automated impact device (AID) was introduced which utilized tachometer pulse as initiation signal and its effectiveness on ISMA was proven. An attempt to further enhance this device in term of equipment and cost is then proposed by replacing the tachometer with the in-use tri-axial accelerometer through utilizing the filtered response of cyclic load component as an initiation signal to control the impact device, which is also the primary aim for this study. Prior to modal testing, accuracy of this device is illustrated at desired phase angles of 0 deg, 90 deg, 180 deg, and 270 deg. Subsequently, frequency response function (FRF) estimations obtained for ISMA using enhanced AID has demonstrated the suppression capabilities of this device on disturbances, i.e., reduction of 93.58% at 30 Hz and 57.78% at 60 Hz, resulting in a high correlation for signature assurance criterion (SAC) and cross signature assurance criterion (CSAC). Modal parameters extracted from the EMA and ISMA using impact device are presented and compared, for the first three natural modes of the test rig. It is found that natural frequencies are deviating by less than 6%, whereas modal assurance criterion (MAC) values between the mode shapes of the two tests are found to be above 0.9.
Hong Cheet Lim; Zhi Chao Ong; Zubaidah Ismail; Shin Yee Khoo; Alex Ong. A Performance Study of Controlled Impact Timing on Harmonics Reduction in Operational Modal Testing. Journal of Dynamic Systems, Measurement, and Control 2018, 141, 034501 .
AMA StyleHong Cheet Lim, Zhi Chao Ong, Zubaidah Ismail, Shin Yee Khoo, Alex Ong. A Performance Study of Controlled Impact Timing on Harmonics Reduction in Operational Modal Testing. Journal of Dynamic Systems, Measurement, and Control. 2018; 141 (3):034501.
Chicago/Turabian StyleHong Cheet Lim; Zhi Chao Ong; Zubaidah Ismail; Shin Yee Khoo; Alex Ong. 2018. "A Performance Study of Controlled Impact Timing on Harmonics Reduction in Operational Modal Testing." Journal of Dynamic Systems, Measurement, and Control 141, no. 3: 034501.
Currently, visual inspections for damage identification of structures are broadly used. However, they have two main drawbacks; time limitation and qualified manpower accessibility. Therefore, more precise and quicker technique is required to monitor the condition of structures. To aid the aim, a data mining based damage identification approach can be utilized to solve these drawbacks. In this study, to predict the damage severity of single-point damage scenarios of I-beam structures a data mining based damage identification framework and a hybrid algorithm combining Artificial Neural Network (ANN) and Imperial Competitive Algorithm (ICA), called ICA-ANN method, is proposed. ICA is employed to determine the initial weights of ANN. The efficiency coefficient and mean square error (MSE) are used to evaluate the performance of the ICA-ANN model. Moreover, the proposed model is compared with a pre-developed ANN approach in order to verify the efficiency of the proposed methodology. Based on the obtained results, it is concluded that the ICA-ANN indicates a better performance in detection of damage severity over the ANN method used only.
Meisam Gordan; Hashim Abdul Razak; Zubaidah Ismail; Khaled Ghaedi. Data mining based damage identification using imperialist competitive algorithm and artificial neural network. Latin American Journal of Solids and Structures 2018, 15, 1 .
AMA StyleMeisam Gordan, Hashim Abdul Razak, Zubaidah Ismail, Khaled Ghaedi. Data mining based damage identification using imperialist competitive algorithm and artificial neural network. Latin American Journal of Solids and Structures. 2018; 15 (8):1.
Chicago/Turabian StyleMeisam Gordan; Hashim Abdul Razak; Zubaidah Ismail; Khaled Ghaedi. 2018. "Data mining based damage identification using imperialist competitive algorithm and artificial neural network." Latin American Journal of Solids and Structures 15, no. 8: 1.
The demand for composite materials is increasing due to their great superiority in material properties, e.g., lightweight, high strength and high corrosion resistance. As a result, the invention of composite materials of diverse properties is becoming prevalent, and thus, leading to the development of material identification methods for composite materials. Conventional identification methods are destructive, time-consuming and costly. Therefore, an accurate identification approach is proposed to circumvent these drawbacks, involving the use of Frequency Response Function (FRF) error function defined by the correlation discrepancy between experimental and Finite-Element generated FRFs. A square E-glass epoxy composite plate is investigated under several different configurations of boundary conditions. It is notable that the experimental FRFs are used as the correlation reference, such that, during computation, the predicted FRFs are continuously updated with reference to the experimental FRFs until achieving a solution. The final identified elastic properties, namely in-plane elastic moduli, Ex and Ey, in-plane shear modulus, Gxy, and major Poisson’s ratio, vxy of the composite plate are subsequently compared to the benchmark parameters as well as with those obtained using modal-based approach. As compared to the modal-based approach, the proposed method is found to have yielded relatively better results. This can be explained by the direct employment of raw data in the proposed method that avoids errors that might incur during the stage of modal extraction.
Jun Hui Tam; Zhi Chao Ong; Zubaidah Ismail; Bee Chin Ang; Shin Yee Khoo. Identification of material properties of orthotropic composite plate using experimental frequency response function data. NANOSCIENCE AND NANOTECHNOLOGY: NANO-SciTech 2018, 1958, 020030 .
AMA StyleJun Hui Tam, Zhi Chao Ong, Zubaidah Ismail, Bee Chin Ang, Shin Yee Khoo. Identification of material properties of orthotropic composite plate using experimental frequency response function data. NANOSCIENCE AND NANOTECHNOLOGY: NANO-SciTech. 2018; 1958 (1):020030.
Chicago/Turabian StyleJun Hui Tam; Zhi Chao Ong; Zubaidah Ismail; Bee Chin Ang; Shin Yee Khoo. 2018. "Identification of material properties of orthotropic composite plate using experimental frequency response function data." NANOSCIENCE AND NANOTECHNOLOGY: NANO-SciTech 1958, no. 1: 020030.
The main emphasis of this paper is placed on the effectiveness of the proposed optimization method in material identification. The primary motivation of integrating GA, ACO and PSO is to minimize each other’s weaknesses and to promote respective strengths. In the proposed algorithm, the effect of random initialization of GA is subdued by passing the products of GA through the ACO and PSO operators to well organize the exploitative and exploratory search coverage. In return, GA improves the convergence rate and alleviates the strong dependency on the pheromone array in ACO as well as resolves the conflict arisen in identifying the trade-off parameter and further refine the exploitative search of PSO with the introduction of two-point standard mutation and one-point refined mutation. The proposed algorithm has been verified and applied in composite material identification with absolute percentage errors between measured and evaluated natural frequencies not more than 2%.
Jun Hui Tam; Zhi Chao Ong; Zubaidah Ismail; Bee Chin Ang; Shin Yee Khoo; Wen L. Li. Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm. Inverse Problems in Science and Engineering 2017, 26, 1432 -1463.
AMA StyleJun Hui Tam, Zhi Chao Ong, Zubaidah Ismail, Bee Chin Ang, Shin Yee Khoo, Wen L. Li. Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm. Inverse Problems in Science and Engineering. 2017; 26 (10):1432-1463.
Chicago/Turabian StyleJun Hui Tam; Zhi Chao Ong; Zubaidah Ismail; Bee Chin Ang; Shin Yee Khoo; Wen L. Li. 2017. "Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm." Inverse Problems in Science and Engineering 26, no. 10: 1432-1463.
Impact force identification from response sensors is important especially when force measurement using force sensor is not possible due to the installation or dynamic characteristic altering problems. For example, the bump-excited impact force acting on vehicle wheel or ship collision on an offshore structure. Among various existing impact identification approaches, neural network based force identification method has received great attention because one does not need to have a system model. Thus, it is less likely to be affected by ill-posed problem that often occurs during the inversion process. So far, previous studies focused on solving the impact force identification problem using only the conventional Multilayer Perceptron (MLP). Thus, there is a room for improvement to find an alternate algorithm that has great advantage over MLP. For this reason, this study proposes Radial Basis Function Network (RBFN) for possible further improvement in impact identification task. A comparative study between these two algorithms was conducted via experimental approach. Impact forces were made on a Perspex plate structure which was designed to produce similar dynamic behavior of a typical vehicle. Impact locations were fixed at four edges of the test rig to simulate impact events at a vehicle's wheels. Time-domain peak-to-peak and peak arrival time features were extracted from accelerometer data to use as network inputs. Few training data were taken in the way that they represent the entire range of magnitudes of all trial impacts made throughout the experiment. In overall, RBFN improved the impact localization and quantification accuracies by decreasing 32.98% and 40.91% error respectively compared to MLP. The improvement was mainly due to the RBFN's strong approximation ability and its superior tolerance to experimental noises/uncertainties
Sazzad Hossain; Zhi Chao Ong; Zubaidah Ismail; Shin Yee Khoo. A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron. Expert Systems with Applications 2017, 85, 87 -98.
AMA StyleSazzad Hossain, Zhi Chao Ong, Zubaidah Ismail, Shin Yee Khoo. A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron. Expert Systems with Applications. 2017; 85 ():87-98.
Chicago/Turabian StyleSazzad Hossain; Zhi Chao Ong; Zubaidah Ismail; Shin Yee Khoo. 2017. "A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron." Expert Systems with Applications 85, no. : 87-98.
Jun Hui Tam; Zhi Chao Ong; Chun Lek Lau; Zubaidah Ismail; Bee Chin Ang; Shin Yee Khoo. Identification of material properties of composite plates using Fourier-generated frequency response functions. Mechanics of Advanced Materials and Structures 2017, 26, 119 -128.
AMA StyleJun Hui Tam, Zhi Chao Ong, Chun Lek Lau, Zubaidah Ismail, Bee Chin Ang, Shin Yee Khoo. Identification of material properties of composite plates using Fourier-generated frequency response functions. Mechanics of Advanced Materials and Structures. 2017; 26 (2):119-128.
Chicago/Turabian StyleJun Hui Tam; Zhi Chao Ong; Chun Lek Lau; Zubaidah Ismail; Bee Chin Ang; Shin Yee Khoo. 2017. "Identification of material properties of composite plates using Fourier-generated frequency response functions." Mechanics of Advanced Materials and Structures 26, no. 2: 119-128.
This article investigates the effect of structural dynamics on voltage generation from a novel dual coupled cantilever based piezoelectric vibration energy harvester (PVEH) system. Two non-destructive vibration techniques using the EMA and ODS analysis techniques have been integrated into the location selection scheme for enhancing vibration energy harvesting purpose. The location selection scheme is based on a measurement procedure on both harvester and its host structure to identify the optimal location. The results shows that the proposed cantilever PVEH is able to harvest high voltage in the high displacement region. An optimal location, (i.e. maximum vibration points/anti-nodal points) determined by the location selection scheme could yield 33.3% improvement in harvested voltage, as compared to baseline voltage. Meanwhile, if the piezoelectric plate is placed at any minimal vibration points or nodal point on the structure as determined by the location selection scheme, a significant reduction (>70%) in harvested voltage is observed
Shin Yee Khoo; Zainab Shakir Radeef; Zhi Chao Ong; Yu-Hsi Huang; Wen Tong Chong; Zubaidah Ismail. Structural dynamics effect on voltage generation from dual coupled cantilever based piezoelectric vibration energy harvester system. Measurement 2017, 107, 41 -52.
AMA StyleShin Yee Khoo, Zainab Shakir Radeef, Zhi Chao Ong, Yu-Hsi Huang, Wen Tong Chong, Zubaidah Ismail. Structural dynamics effect on voltage generation from dual coupled cantilever based piezoelectric vibration energy harvester system. Measurement. 2017; 107 ():41-52.
Chicago/Turabian StyleShin Yee Khoo; Zainab Shakir Radeef; Zhi Chao Ong; Yu-Hsi Huang; Wen Tong Chong; Zubaidah Ismail. 2017. "Structural dynamics effect on voltage generation from dual coupled cantilever based piezoelectric vibration energy harvester system." Measurement 107, no. : 41-52.
Zhi Chao Ong; Mohd Bakar Mohd Mishani; Wen Tong Chong; Roon Sheng Soon; Hwai Chyuan Ong; Zubaidah Ismail. Identification of optimum Calophyllum inophyllum bio-fuel blend in diesel engine using advanced vibration analysis technique. Renewable Energy 2017, 109, 295 -304.
AMA StyleZhi Chao Ong, Mohd Bakar Mohd Mishani, Wen Tong Chong, Roon Sheng Soon, Hwai Chyuan Ong, Zubaidah Ismail. Identification of optimum Calophyllum inophyllum bio-fuel blend in diesel engine using advanced vibration analysis technique. Renewable Energy. 2017; 109 ():295-304.
Chicago/Turabian StyleZhi Chao Ong; Mohd Bakar Mohd Mishani; Wen Tong Chong; Roon Sheng Soon; Hwai Chyuan Ong; Zubaidah Ismail. 2017. "Identification of optimum Calophyllum inophyllum bio-fuel blend in diesel engine using advanced vibration analysis technique." Renewable Energy 109, no. : 295-304.
Dong Luo; Jianxun Ma; Zainah Ibrahim; Zubaidah Ismail. Etched FBG coated with polyimide for simultaneous detection the salinity and temperature. Optics Communications 2017, 392, 218 -222.
AMA StyleDong Luo, Jianxun Ma, Zainah Ibrahim, Zubaidah Ismail. Etched FBG coated with polyimide for simultaneous detection the salinity and temperature. Optics Communications. 2017; 392 ():218-222.
Chicago/Turabian StyleDong Luo; Jianxun Ma; Zainah Ibrahim; Zubaidah Ismail. 2017. "Etched FBG coated with polyimide for simultaneous detection the salinity and temperature." Optics Communications 392, no. : 218-222.
One of the crucial issues regarding a storm sewer system is the ability to avoid sediment depositions on the pipe invert. In this study, the mean flow velocity under the limit of sediment deposition conditions in partially filled circular storm sewers is evaluated through the use of a support vector machine (SVM) model coupled with the firefly algorithm (FFA). The aforemetioned velocity, defined as the velocity at the limit of deposition, and the parameters upon which it depends have been nondimensionalized using the Buckingham Π theorem. Therefore, once the dimensionless parameters are identified, six different functional relationships in terms of dimensionless groups can be obtained. The effects of each of these functional relationships on the dimensionless velocity at limit of deposition, defined as the densimetric particle Froude number at the limit of deposition, have been analyzed by using, respectively, the SVM-FFA model, SVM model, genetic programming (GP) model, and artificial neural network (ANN) model. Five statistical indices have been used for evaluating the performance of each model (both in training and test phases) and, later, for comparing the performance of the different models between them. Finally, the predicted densimetric particle Froude number values obtained through the proposed SVM-FFA model have been compared with those obtained by three different dimensionless equations for velocity at the limit of deposition. The results indicate that SVM-FFA predicts the densimetric particle Froude number at limit of deposition fairly accurately.
Isa Ebtehaj; Hossein Bonakdari; Shahabuddin Shamshirband; Zubaidah Ismail; Roslan Hashim. New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm. Journal of Pipeline Systems Engineering and Practice 2017, 8, 04016018 .
AMA StyleIsa Ebtehaj, Hossein Bonakdari, Shahabuddin Shamshirband, Zubaidah Ismail, Roslan Hashim. New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm. Journal of Pipeline Systems Engineering and Practice. 2017; 8 (2):04016018.
Chicago/Turabian StyleIsa Ebtehaj; Hossein Bonakdari; Shahabuddin Shamshirband; Zubaidah Ismail; Roslan Hashim. 2017. "New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm." Journal of Pipeline Systems Engineering and Practice 8, no. 2: 04016018.
This study presents a novel time-domain feature to identify impact locations using Multilayer Perceptron. This feature is based on the minimum arrival time (MAT) of surface wave at a particular location of an object due to impact. Trial impact forces were made on a Perspex plate structure and corresponding acceleration responses were acquired from six locations. Two other conventional time-domain features – peak arrival time (PAT) and threshold crossing (TC), were compared with the proposed feature. Each feature was used separately as network inputs to identify 15 fixed impact locations. The results showed that impact localization with MAT feature resulted in the highest accuracy, making a relative decrease in error of 42.06 and 81.04% compared to PAT and TC cases, respectively. A consistency measurement scheme has been developed as well, which indicated that MAT is more consistent than PAT and TC for a particular pair of impact-sensor location, and hence a more accurate localization of impact can be obtained.
Sazzad Hossain; Zhi Chao Ong; Siew-Cheok Ng; Zubaidah Ismail; Shin Yee Khoo. Inverse identification of impact locations using multilayer perceptron with effective time-domain feature. Inverse Problems in Science and Engineering 2017, 26, 443 -461.
AMA StyleSazzad Hossain, Zhi Chao Ong, Siew-Cheok Ng, Zubaidah Ismail, Shin Yee Khoo. Inverse identification of impact locations using multilayer perceptron with effective time-domain feature. Inverse Problems in Science and Engineering. 2017; 26 (3):443-461.
Chicago/Turabian StyleSazzad Hossain; Zhi Chao Ong; Siew-Cheok Ng; Zubaidah Ismail; Shin Yee Khoo. 2017. "Inverse identification of impact locations using multilayer perceptron with effective time-domain feature." Inverse Problems in Science and Engineering 26, no. 3: 443-461.
Display Omitted ANNs-solved vibration based parametric identification studies are reviewed.Factors which affect identification result are discussed.Pros and cons of ANN approaches are mentioned.Suggestions are given to potential researchers based on the discussion.Analysis with experimental results is provided to justify some point of view. Vibration behavior of any solid structure reveals certain dynamic characteristics and property parameters of that structure. Inverse problems dealing with vibration response utilize the response signals to find out input factors and/or certain structural properties. Due to certain drawbacks of traditional solutions to inverse problems, ANNs have gained a major popularity in this field. This paper reviews some earlier researches where ANNs were applied to solve different vibration-based inverse parametric identification problems. The adoption of different ANN algorithms, input-output schemes and required signal processing were denoted in considerable detail. In addition, a number of issues have been reported, including the factors that affect ANNs prediction, as well as the advantage and disadvantage of ANN approaches with respect to general inverse methods Based on the critical analysis, suggestions to potential researchers have also been provided for future scopes.
Sazzad Hossain; Zhi Chao Ong; Zubaidah Ismail; Siamak Noroozi; Shin Yee Khoo. Artificial neural networks for vibration based inverse parametric identifications: A review. Applied Soft Computing 2017, 52, 203 -219.
AMA StyleSazzad Hossain, Zhi Chao Ong, Zubaidah Ismail, Siamak Noroozi, Shin Yee Khoo. Artificial neural networks for vibration based inverse parametric identifications: A review. Applied Soft Computing. 2017; 52 ():203-219.
Chicago/Turabian StyleSazzad Hossain; Zhi Chao Ong; Zubaidah Ismail; Siamak Noroozi; Shin Yee Khoo. 2017. "Artificial neural networks for vibration based inverse parametric identifications: A review." Applied Soft Computing 52, no. : 203-219.
The impact-synchronous modal analysis (ISMA), which uses impact-synchronous time averaging (ISTA), allows modal testing to be performed during operation. ISTA is effective in filtering out the non-synchronous cyclic load component, its harmonics, and noises. However, it was found that at operating speeds that coincide with the natural modes, ISMA would require a high number of impacts to determine the dynamic characteristics of the system. This finding has subsequently reduced the effectiveness and practicality of ISMA. Preservation of signatures during ISTA depends on the consistency of their phase angles on every time block but not necessarily on their frequencies. Thus, the effect of phase angles with respect to impact is seen to be a very important parameter when performing ISMA on structures with dominant periodic responses due to cyclic load and ambient excitation. The responses from unaccounted forces that contain even the same frequency as that contained in the response due to impact are diminished with the least number of impacts when the phase of the periodic responses is not consistent with the impact signature for every impact applied. The assessment showed that a small number of averages are sufficient to eliminate the non-synchronous components with 98.48% improvement on simulation and 95.22% improvement on experimental modal testing when the phase angles with respect to impact are not consistent for every impact applied.
Zhi Chao Ong; Hong Cheet Lim; Shin Yee Khoo; Zubaidah Ismail; Keen Kuan Kong; Abdul Ghaffar Abdul Rahman. Assessment of the phase synchronization effect in modal testing during operation. Journal of Zhejiang University-SCIENCE A 2017, 18, 92 -105.
AMA StyleZhi Chao Ong, Hong Cheet Lim, Shin Yee Khoo, Zubaidah Ismail, Keen Kuan Kong, Abdul Ghaffar Abdul Rahman. Assessment of the phase synchronization effect in modal testing during operation. Journal of Zhejiang University-SCIENCE A. 2017; 18 (2):92-105.
Chicago/Turabian StyleZhi Chao Ong; Hong Cheet Lim; Shin Yee Khoo; Zubaidah Ismail; Keen Kuan Kong; Abdul Ghaffar Abdul Rahman. 2017. "Assessment of the phase synchronization effect in modal testing during operation." Journal of Zhejiang University-SCIENCE A 18, no. 2: 92-105.