Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems-Reference-Cited by-同舟云学术

Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems

Published:2019-12-23 Issue:15 Volume:24 Page:11583-11604
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Hariri-Ardebili Mohammad Amin^ORCID,Salazar Fernando^ORCID

Funder

Ministère de l’Économie, de l’Innovation et des Exportations du Québec

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04623-x.pdf

Reference71 articles.

1. ANSYS (2007) Ansys software reference manuals, release notes, mechanical apdl, elements reference, commands reference and theory reference, version release 11

2. Arabshahi H, Lotfi V (2008) Earthquake response of concrete gravity dams including dam–foundation interface nonlinearities. Eng Struct 30(11):3065–3073

3. ASCE (2017) 2017 report card for America’s infrastructure; dams. American Society of Civil Engineers. https://www.infrastructurereportcard.org/cat-item/dams/. Last viewed January 2018

4. Bhattacharjee S, Leger P (1993) Seismic cracking and energy dissipation in concrete gravity dams. Earthq Eng Struct Dyn 22:991–1007

5. Bhattacharjee S, Leger P (1994) Application of nlfm models to predict cracking in concrete gravity dams. ASCE Struct Eng 120:1255–1271

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applying Machine Learning Techniques: Uncertainty Quantification in Nonlinear Dynamics Characters Predictions via Gated Recurrent Unit-Based Reduced-Order Models;International Journal of Pattern Recognition and Artificial Intelligence;2024-07-25

2. Efficient Fragility Analysis of Cross-Fault Hydraulic Tunnels Combining Support Vector Machine and Improved Cloud Method;Journal of Earthquake Engineering;2024-01-09

3. Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction;IEEE Access;2024

4. Machine Learning-Based Structural Health Monitoring of Dams;Lecture Notes in Civil Engineering;2024

5. A collaborative numerical simulation-soft computing approach for earth dams first impoundment modeling;Computers and Geotechnics;2023-12