Safety Assessment of a Steel Frame Using LRFD and SBRA Methods

Václavek, Leo; Chen, I.-Hong; Марек, Павел

doi:10.1061/(asce)sc.1943-5576.0000028

Cited by 1 publication

(1 citation statement)

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“…During the last years, the complexity of the problems that can be solved with SBRA (Václavek et al, 2010;Marek et al, 2008) has been increasing significantly. In the near future, a transition from the old "prescriptive" structural reliability assessment methods towards qualitatively "higher" methods, such as SBRA, could be considered…”

Section: Resultsmentioning

confidence: 99%

From Partial Factors Design to the SBRA Probabilistic Method

Plánička¹,

Martin²,

Pawełczyk³

2011

AMS

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Republic. 1954 finished grammar school at Klatovy, 1959 graduated at the college of Mechanical and Electrical Engineering in Pilsen field of study Machine tools and Machining with the degree of Ing. (MSc level). In 1971 defended thesis in the field of Physical Metallurgy an Ultimate States of Materials with degree CSc. (Ph.D. level), 1976 senior lecturer Professor at the branch of Mechanics of Materials in 1984. He is focused on boundary states of materials and experimental mechanics. Academic and professional positions as head of department, vice-rector, rector, chairman of the professional group of Experimental Mechanics of the Czech Society for Mechanics a member of the committee of that society. Author or co-author of many articles presented in several professional journals and at national and international conferences in the field of Moire Method and its applications to plastic deformations and to fracture mechanics. Co-author of patent of invention: The Moire Method and its Modification for Realization of Procedure Designing using Personal Computer. Martin Šolc, Ing. (born in 1984) after graduating from the Czech Technical University in Prague, faculty of Civil Engineering, in 2009, he started studying in the Doctoral Study Course at the University of Western Bohemia in Plzeň, faculty of Applied Sciences, Department of Mechanics. His main areas of interest include structural reliability, probabilistic methods and experimental mechanics.

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Section: Resultsmentioning

confidence: 99%