Rainfall-runoff (R-R) modelling is used to study the runoff generation of a catchment. The quantity or rate of change measure of the hydrological variable, called runoff, is important for environmental scientists to accomplish water-related planning and design. This paper proposes (i) an integrated model namely EO-ELM (an integration of equilibrium optimizer (EO) and extreme learning machine (ELM)) and (ii) a deep neural network (DNN) for one day-ahead R-R modelling. The proposed R-R models are validated at two different benchmark stations of the catchments, namely river Teifi at Glanteifi and river Fal at Tregony in the UK. Firstly, a partial autocorrelation function (PACF) is used for optimal number of lag inputs to deploy the proposed models. Six other well-known machine learning models, called ELM, kernel ELM (KELM), and particle swarm optimization-based ELM (PSO-ELM), support vector regression (SVR), artificial neural network (ANN) and gradient boosting machine (GBM) are utilized to validate the two proposed models in terms of prediction efficiency. Furthermore, to increase the performance of the proposed models, paper utilizes a discrete wavelet-based data pre-processing technique is applied in rainfall and runoff data. The performance of wavelet-based EO-ELM and DNN are compared with wavelet-based ELM (WELM), KELM (WKELM), PSO-ELM (WPSO-ELM), SVR (WSVR), ANN (WANN) and GBM (WGBM). An uncertainty analysis and two-tailed t-test are carried out to ensure the trustworthiness and efficacy of the proposed models. The experimental results for two different time series datasets show that the EO-ELM performs better in an optimal number of lags than the others. In the case of wavelet-based daily R-R modelling, proposed models performed better and showed robustness compared to other models used. Therefore, this paper shows the efficient applicability of EO-ELM and DNN in R-R modelling that may be used in the hydrological modelling field.

Concrete Filled steel Tube (CFT) columns have been widely used in moment resisting frame structures located on non-seismic zones or high seismic zones. This paper discusses the design of such composite members based on the advanced methods which are introduced in the 2005 America Institute of Steel Construction (AISC) Specification and the 2005 AISC Seismic Provisions. These design specifications explicitly allow the use of the full plastic capacities of CFT columns, and so they require column members with more slender steel walls than ones allowed in previous specification. In addition, this study focuses particularly on damage evaluation following nonlinear frame analyses. The paper begins with an examination of design interaction curves including the length effect and the full plastic strength demand in CFT beam-column members. Based on advanced computational simulations of a series of 3-, 9-, and 20-story SAC composite-special moment frames, this paper then investigates new techniques to evaluate the damage of CFT columns during a strong earthquake. The paper concludes with some discussion of (a) step by step procedures to compute the interactive ratios of the individual CFT beam-columns and (b) member vs. seismic performance evaluation.

In this study, concrete-filled tube (CFT) column-to-foundation connections were investigated experimentally to improve the design of their structural details. Initially, five different types of foundation connections, which were classified according to the design parameters incorporating the types of anchor bolts, shear connectors, base members, and reinforced bars used, were fabricated. After conducting structural experiments on these foundation models, the performance and capacity of the individual model cases from the test results were compared with each other. The test results showed that some of the test models designed according to current design guidelines had problems related to the structural details. Therefore, this study proposed an adequate design methodology to improve the performance of foundation components, such as high tension bolt, base frame members, and embedded plate. An analytical investigation of the force-deformation relationship as well as the characteristic strains distributed over the individual foundation components was performed.