KI/ML-gestützte Auswertung und Interpretation der IABSE-Brückeneinsturzdatenbank

被引：0

作者：

Proske D. ^{[1
]}

Güner I. ^{[2
]}

Hingorani R. ^{[3
]}

Tanner P. ^{[4
]}

Syrkov A. ^{[5
]}

机构：

[1] Berner Fachhochschule, Pestalozzistrasse 20, Burgdorf

[2] Heitkamp Construction Swiss GmbH, Pilatusstrasse 2, (LU), Dierikon

[3] Norwegian University of Science and Technology, Richard Birkelands vei 1a, Trondheim

[4] Eduardo Torroja Institute for Construction Science, Serrano Galvache 4, Madrid

[5] JSC “Transmost”, St. Petersburg

来源：

Beton- und Stahlbetonbau | 2023年 / 118卷 / 02期

关键词：

artificial intelligence; bridges; collapse; flood; machine learning;

D O I：

10.1002/best.202200098

中图分类号：

学科分类号：

摘要：

KI/ML-based Analysis and Interpretation of the IABSE-Bridge Collapse Database. Statistical analyses of bridge collapse data show that concrete bridges collapse significantly less frequently than bridges made of steel or wood. Since the main causes of bridge collapses worldwide are floods and associated fluvial processes, such as scouring, debris flows, etc. and impacts, it is reasonable to assume that the high dead load of concrete bridges leads to an overall more robust behavior in these events. This paper will examine whether the IABSE collapse database confirms this hypothesis and whether indications of further causes can be identified. For this purpose, the IABSE collapse database is examined using artificial intelligence and machine learning (AI/ML) methods. However, the AI/ML analysis does not confirm the previous thesis. The reasons for the rejection of the thesis, such as the representativeness of the data, are also discussed. An extension of the database for events with large numbers of collapses is recommended. © 2023, Ernst und Sohn. All rights reserved.

引用

页码：76 / 87

页数：11

共 39 条

[1] Proske D., Bridge Collapse Frequencies and Failure Probabilities, (2018)
[2] Birdgle R.J., Sims F.A., The effect of bridge failures on UK technical policy and practice, Proceedings of the Institution of Civil Engineers, Engineering History and Heritage, 162, EH1, pp. 39-49, (2009)
[3] Ratay R.T., Changes in Codes, Standards and Practice Following Structural Failures, Part 1: Bridges, Structure magazine, 10, pp. 16-19, (2010)
[4] Cook W., Bridge Failure Rates, Consequences and Predictive Trends, (2004)
[5] Lee G.C., Mohan S.B., Huang C., Fard B.N., A Study of U.S. Bridge Failures (1980–2012), (2013)
[6] Wardhana K., Hadipriono F.C., Analysis of Recent Bridge Failures in the United States, Journal of Performance of Constructed Facilities, 8, pp. 144-150, (2003)
[7] Taricska M.R., An Analysis of Recent Bridge failures in the United States (2000–2012), (2014)
[8] UK Research and Innovation: Debris Effects on BRIdge resiliencE and Flooding, (2018)
[9] Syrkov A., Hoj N.P., Bridge failures analysis as a risk mitigating tool, IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management., pp. 27-29, (2019)
[10] Milic I., Ivankovic A.M., Syrkov A., Skokandic D., Bridge failures, forensic structural engineering and recommendations for design of robust structures, GRAĐEVINAR, 73, 7, pp. 717-736, (2021)

← 1 2 3 4 →