Michael H. Scott

Michael H. Scott

Oregon State University

H-index: 33

North America-United States

About Michael H. Scott

Michael H. Scott, With an exceptional h-index of 33 and a recent h-index of 27 (since 2020), a distinguished researcher at Oregon State University, specializes in the field of Structural engineering, Nonlinear structural analysis, Fluid-structure interaction, OpenSees.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nonlinear Response Sensitivity Analysis of Typical Highway Bridges

Challenges in GPU-accelerated nonlinear dynamic analysis for structural systems

Generalized Computation of Buckling Loads via Curvature-Based Displacement Interpolation

Pilot Study: Machine Learning and Deep Learning Study for Fluid Structure Interaction Problems [Supporting Dataset]

Pilot Training Data for Machine Learning of Coastal Bridges [supporting dataset]

A PFEM background mesh for simulating fluid and frame structure interaction

Consistent software-specific nonlinear dynamic response of highway bridges

Strength and reliability of structural steel roofs subjected to ponding loads

Michael H. Scott Information

University

Position

___

Citations(all)

10850

Citations(since 2020)

5655

Cited By

7097

hIndex(all)

33

hIndex(since 2020)

27

i10Index(all)

58

i10Index(since 2020)

40

Email

University Profile Page

Google Scholar

Michael H. Scott Skills & Research Interests

Structural engineering

Nonlinear structural analysis

Fluid-structure interaction

OpenSees

Top articles of Michael H. Scott

Nonlinear Response Sensitivity Analysis of Typical Highway Bridges

Journal of Bridge Engineering

2023/7/1

Challenges in GPU-accelerated nonlinear dynamic analysis for structural systems

Journal of Structural Engineering

2023/3/1

Generalized Computation of Buckling Loads via Curvature-Based Displacement Interpolation

Journal of Structural Engineering

2023/2/1

Pilot Study: Machine Learning and Deep Learning Study for Fluid Structure Interaction Problems [Supporting Dataset]

2022

Pilot Training Data for Machine Learning of Coastal Bridges [supporting dataset]

2022/11/10

A PFEM background mesh for simulating fluid and frame structure interaction

Journal of Structural Engineering

2022/6/1

Consistent software-specific nonlinear dynamic response of highway bridges

Practice Periodical on Structural Design and Construction

2022/5/1

Strength and reliability of structural steel roofs subjected to ponding loads

Journal of Structural Engineering

2021/2/1

Tsunami loading on coastal bridges

The 17th World Conference on Earthquake Engineering. Sendai: International Association for Earthquake Engineering

2021

Benchmark column and benchmark bridge seismic sensitivity under degrading cyclic response

The 17th World Conference on Earthquake Engineering. Sendai: International Association for Earthquake Engineering

2021

Extending bridge modeling to include changes in the vertical system for collapse simulation

The 17th World Conference on Earthquake Engineering. Sendai: International Association for Earthquake Engineering

2021

Validation of tsunami design guidelines for coastal bridges

2021/1/1

Erratum for “Krylov Subspace Accelerated Newton Algorithm: Application to Dynamic Progressive Collapse Simulation of Frames” by Michael H. Scott and Gregory L. Fenves

Journal of Structural Engineering

2020/8/1

See List of Professors in Michael H. Scott University(Oregon State University)

Co-Authors

academic-engine