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Dahai Wang

Wuhan University - Department of Construction Management

Wuhan

China

  • Wuhan University - Department of Construction Management

SCHOLARLY PAPERS

2

DOWNLOADS

85

TOTAL CITATIONS

2

Scholarly Papers (2)

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1.

Probabilistic Reliability Assessment of Transmission Tower-Line System Subjected to Typhoon Events: Integrating Fragility Analysis with Wind Direction Effect

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Citation 2

Probabilistic Reliability Assessment of Transmission Tower-Line System Subjected to Typhoon Events: Integrating Fragility Analysis with Wind Direction Effect

Number of pages: 37 Posted: 06 Jan 2025
Dahai Wang, Zhengyuan Ma, Jie Song, Haolin He and Zenghao Huang
Wuhan University - Department of Construction Management, Wuhan University of Technology, Wuhan University, Wuhan University of Technology and affiliation not provided to SSRN
Downloads 46 (1,131,842)
Citation 1

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Transmission tower, reliability, Typhoon model, Wind attack angle, Failure criterion, Failure probability

Probabilistic Reliability Assessment of Transmission Tower-Line System Subjected to Typhoon Events: Integrating Fragility Analysis with Wind Direction Effect

Number of pages: 37 Posted: 08 Jan 2025
Dahai Wang, Zhengyuan Ma, Jie Song, Haolin He and Zenghao Huang
Wuhan University - Department of Construction Management, Wuhan University of Technology, Wuhan University, Wuhan University of Technology and affiliation not provided to SSRN
Downloads 39 (1,224,220)
Citation 1

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Transmission tower, reliability, Typhoon model, Wind attack angle, Failure criterion, Failure probability

2.

The Study of Resource Evaluation in Green Construction

Abstract Proceedings of 2019 International Conference on Resource Sustainability - Cities (icRS Cities)
Posted: 01 Jul 2019 Last Revised: 13 Jul 2019
Lin Yang, Dahai Wang and Zhaozhi Meng
Wuhan University - Department of Construction Management, Wuhan University - Department of Construction Management and Wuhan University - School of Civil Engineering

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green construction, resource evaluation, Analytic hierarchy process, Grey clustering evaluation method