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18th International Probabilistic Workshop = IPW 2020 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	18th International Probabilistic Workshop/ edited by José C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa.
Reminder of title:	IPW 2020 /
other author:	Matos, José C.
Description:	XVI, 855 p. 350 illus., 230 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Civil engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-73616-3
ISBN:	9783030736163

18th International Probabilistic Workshop = IPW 2020 /
18th International Probabilistic WorkshopIPW 2020 /[electronic resource] :edited by José C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa. - 1st ed. 2021. - XVI, 855 p. 350 illus., 230 illus. in color.online resource. - Lecture Notes in Civil Engineering,1532366-2565 ;. - Lecture Notes in Civil Engineering,1.

This volume presents the proceedings of the 18th International Probabilistic Workshop (IPW), which was held in Guimarães, Portugal in May 2021. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.

ISBN: 9783030736163

Standard No.: 10.1007/978-3-030-73616-3doiSubjects--Topical Terms:

561339
Civil engineering.

LC Class. No.: TA1-2040

Dewey Class. No.: 624

18th International Probabilistic Workshop = IPW 2020 /
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