Arunachalam Srinivasan

About Arunachalam Srinivasan

Arunachalam Srinivasan, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Jaypee University of Engineering and Technology, specializes in the field of Structural Engineering, Wind Engineering.

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

A multi-fidelity stochastic simulation scheme for estimation of small failure probabilities

Generalized stratified sampling for efficient reliability assessment of structures against natural hazards

Proceedings of the 9th National Conference on Wind Engineering

Uncertainty Quantification of a Wind Tunnel-Informed Stochastic Wind Load Model for Wind Engineering Applications

Experimental validation of a stochastic simulation model for non-Gaussian and non-stationary wind pressures using stationary wind tunnel data

Studies on 1: 300 Scale Wind Tunnel Simulation of Atmospheric Boundary Layer Characteristics Under Open Terrain Conditions Using a State-of-the-Art Boundary Layer Wind Tunnel

An Extended Stratified Sampling Approach for Probabilistic Performance Assessment of Structures under Wind and Seismic Hazards

An efficient stratified sampling scheme for the simultaneous estimation of small failure probabilities in wind engineering applications

Arunachalam Srinivasan Information

University

Position

Director Wind Engineering Application Center

Citations(all)

306

Citations(since 2020)

162

Cited By

170

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Arunachalam Srinivasan Skills & Research Interests

Structural Engineering

Wind Engineering

Top articles of Arunachalam Srinivasan

Title

Journal

Author(s)

Publication Date

A multi-fidelity stochastic simulation scheme for estimation of small failure probabilities

Structural Safety

Min Li

Srinivasan Arunachalam

Seymour MJ Spence

2024/1/1

Generalized stratified sampling for efficient reliability assessment of structures against natural hazards

Journal of Engineering Mechanics

Srinivasan Arunachalam

Seymour MJ Spence

2023/7/1

Proceedings of the 9th National Conference on Wind Engineering

Sabareesh Geetha Rajasekharan

Srinivasan Arunachalam

Pabbisetty Harikrishna

2023/8/22

Uncertainty Quantification of a Wind Tunnel-Informed Stochastic Wind Load Model for Wind Engineering Applications

arXiv preprint arXiv:2305.06253

Thays Guerra Araujo Duarte

Srinivasan Arunachalam

Arthriya Subgranon

Seymour MJ Spence

2023/5/10

Experimental validation of a stochastic simulation model for non-Gaussian and non-stationary wind pressures using stationary wind tunnel data

Srinivasan Arunachalam

Seymour MJ Spence

Thays GA Duarte

Arthriya Subgranon

2023

Studies on 1: 300 Scale Wind Tunnel Simulation of Atmospheric Boundary Layer Characteristics Under Open Terrain Conditions Using a State-of-the-Art Boundary Layer Wind Tunnel

Sumit Dubey

S Arunachalam

Sanjeev Gupta

Rajendra Singh

Sumit Gandhi

...

2023/3/3

An Extended Stratified Sampling Approach for Probabilistic Performance Assessment of Structures under Wind and Seismic Hazards

Srinivasan Arunachalam

Seymour MJ Spence

2023

An efficient stratified sampling scheme for the simultaneous estimation of small failure probabilities in wind engineering applications

Structural Safety

Srinivasan Arunachalam

Seymour MJ Spence

2023/3/1

Validation and Error Quantification of Data-Informed Stochastic Wind Models for Performance-Based Wind Engineering Applications

16th ICWE International Conference on Wind Engineering (ICWE16)

Thays G Duarte

Srinivasan Arunachalam

Arthriya Subgranon

Seymour M Spence

2023/8

Uncertainty quantification and guidance on the use of wind tunnel-informed stochastic wind load models for applications in performance-based wind engineering

Thays GA Duarte

Srinivasan Arunachalam

Arthriya Subgranon

Seymour MJ Spence

2023

Uncertainty Quantification and Simulation of Wind-Tunnel-Informed Stochastic Wind Loads

Wind

Thays GA Duarte

Srinivasan Arunachalam

Arthriya Subgranon

Seymour MJ Spence

2023/9/13

Reliability-based collapse assessment of wind-excited steel structures within performance-based wind engineering

Journal of Structural Engineering

Srinivasan Arunachalam

Seymour MJ Spence

2022/9/1

Influence of acetic acid soaking and mechanical grinding treatment on the properties of treated recycled aggregate concrete

Journal of Material Cycles and Waste Management

S. Arunachalam Abhishek Verma

V. S. Babu

2022/2/22

Performance-based wind engineering: Background and state of the art

Seymour MJ Spence

Srinivasan Arunachalam

2022/2

Characterization of recycled aggregate by the combined method: acid soaking and mechanical grinding technique

Materials Today: Proceedings

Abhishek Verma

VS Babu

S Arunachalam

2022/1/1

Wind-Induced Lock-In Effects on Tall Circular Structures

Srinivasan Arunachalam

2022/9/28

Modified Mass Damping Parameter for Better Prediction of Across Wind Response of Chimneys

S Arunachalam

2021

Influence of mixing approaches on strength and durability properties of treated recycled aggregate concrete

Structural Concrete

Abhishek Verma

Velaga Sarath Babu

Srinivasan Arunachalam

2020

High-fidelity probabilistic collapse assessment of tall steel buildings under extreme winds

6th American Association for Wind Engineering Workshop

Srinivasan Arunachalam

Seymour M Spence

2021/5

Non-linear modelling of vortex induced lock-in effects on circular chimneys

Journal of Wind Engineering and Industrial Aerodynamics

S Arunachalam

N Lakshmanan

2020/7/1

See List of Professors in Arunachalam Srinivasan University(Jaypee University of Engineering and Technology)

Co-Authors

academic-engine