Study of Site Investigation Sample Quality and Worst-Case Scale of Fluctuation for Monopiles Based on Conditional Random Fields-Reference-Cited by-同舟云学术

Study of Site Investigation Sample Quality and Worst-Case Scale of Fluctuation for Monopiles Based on Conditional Random Fields

Published:2024-09 Issue:3 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Liu Jun¹,Guo Xinshuai²,Li Juncheng³,Yi Ping⁴,Wang Baisong⁵

Affiliation:

1. Professor, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116024, China.

2. Doctoral Candidate, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116024, China.

3. Engineer, China Nuclear Power Engineering Co., Ltd., HeBei Branch, Shijiazhuang 050021, China.

4. Professor, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116024, China (corresponding author).

5. Master’s Candidate, State Key Laboratory of Coastal and Offshore Engineering, Dalian Univ. of Technology, Dalian 116024, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1193

Reference49 articles.

1. Ang, A. H. S., and W. H. Tang. 2007. Probability concepts in engineering: Emphasis on applications to civil and environmental engineering. 2nd ed. Hoboken, NJ: Wiley.

2. A framework for the design of vertically loaded piles in spatially variable soil

3. Probability distribution for mobilised shear strengths of spatially variable soils under uniform stress states

4. The stochastic finite element method in structural reliability

5. AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

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