Download PDF

Probabilistic Engineering Mechanics

Publication date: 2022-07-01
Volume: 69
Publisher: Elsevier

Author:

Faes, Matthias GR
Broggi, Matteo ; Spanos, Pol D ; Beer, Michael

Keywords:

Science & Technology, Technology, Physical Sciences, Engineering, Mechanical, Mechanics, Statistics & Probability, Engineering, Mathematics, Random field, Autocorrelation, Convergence analysis, Stochastic analysis, KARHUNEN-LOEVE EXPANSION, REPRESENTATION, SIMULATION, MODEL, 01 Mathematical Sciences, 09 Engineering, Civil Engineering, 40 Engineering, 49 Mathematical sciences