Dave Montellano Osabel

Dr. Dave Montellano Osabel

Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 October 2022 in Earthquake Engineering & Structural Dynamics
Verified
Journal Article
Open access
KKKazuhiko Kasai
Kazuhiko Kasai
DODave Montellano Osabel
Dave Montellano Osabel
DSDaiki Sato
Daiki Sato
Viscoelastic (VE) dampers are sensitive to temperature, excitation frequency, and strain level. As they dissipate the kinetic energy from earthquake or wind‐induced structural vibrations, their temperature increases from the heat generated, consequently softening their VE materials and lowering their dynamic mechanical properties. Temperature increase can be significant for long‐duration loading, but can be limited by heat conduction and convection which depend on damper configuration. The writers analytically explored such effect on the six different dampers by using their previously proposed three‐dimensional finite‐element analysis method. Results provided better understanding of how heat is generated within the VE material, conducted and stored in different damper parts, and dispersed to the surrounding air. These results also led to characterization of both local (e.g., temperatures, properties, and strain energy density) and global (e.g., hysteresis loops, and stiffness) behavior of VE dampers, and provided a framework for a new simplified one‐dimensional (1D) modeling approach for time‐history analysis. This new proposed 1D method greatly improves the computation time of the previously proposed long‐duration method coupling fractional time‐derivatives VE constitutive rule with 1D heat transfer analysis. Unlike the previous method, it idealizes uniform shear strain and VE material property distributions for computational efficiency, but still simulating non‐uniform temperature distribution along the thickness direction of the VE material. Despite the approximations, it accurately predicts VE damper global responses.

8 July 2025 in Earthquake Engineering & Structural Dynamics
Verified
Journal Article
Closed access
DODave Montellano Osabel
Dave Montellano Osabel
KKKazuhiko Kasai
Kazuhiko Kasai
DSDaiki Sato
Daiki Sato

25 February 2026 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Open access
KLKihoon Lim
Kihoon Lim
EJEuncheol Jeong
Euncheol Jeong
DODave Montellano Osabel
Dave Montellano Osabel
YJYoung K. Ju
Young K. Ju
JDJaehyeok Doh
Jaehyeok Doh
JBJaehoon Bae
Jaehoon Bae

13 March 2025 in Journal of Constructional Steel Research
Verified
Journal Article
Open access
DSDaiki Sato
Daiki Sato
CLChengrui Luo
Chengrui Luo
KKKazuhiko Kasai
Kazuhiko Kasai
MMMasaki Minoji
Masaki Minoji
STShugo Takahashi
Shugo Takahashi
KWKazuki Watai
Kazuki Watai

24 January 2024 in Buildings
Verified
Journal Article
Open access
PDF file
XQXiaoxin Qian
Xiaoxin Qian
DSDaiki Sato
Daiki Sato
DODave Montellano Osabel
Dave Montellano Osabel
An isolation layer composed of isolators and steel dampers in base-isolated tall buildings can dissipate wind-induced energy via repeated elasto-plastic deformation. Its energy dissipation can be used to estimate its wind-induced responses and the fatigue damage in the steel dampers. Computationally costly time history analyses using multi-degree-of-freedom (MDOF) models suggest that some structural parameters influence the isolation-layer energy dissipation. However, using common single-degree-of-freedom (CS) models cannot fully capture such influences (e.g., those caused by the damping ratio and the natural period of the upper structure). Hence, this paper proposes a more accurate new equivalent single-degree-of-freedom (ES) model to estimate the isolation-layer energy dissipation in base-isolated tall buildings under strong winds. The ES model considers the influence of structural parameters and uses the first mode shapes of the MDOF models. It is as computationally efficient as, but is more accurate than, the CS model. The results indicate that it can estimate the isolation-layer energy dissipation as closely as MDOF models of base-isolated tall-building under strong winds.