Free Shipping to all UK customers for orders over £25.00

0 Total items on my wish-list.

Free Shipping to all UK customers for orders over £25.00

Ryefieldbooks Logo

Ryefield Books

Free Shipping to all UK customers for orders over £25.00

Ryefieldbooks Logo

Ryefield Books

© Copyright Ryefield Books - All Right Reserved
Product Categories
My Shopping Cart
Void image

You shopping cart is empty

You may browse our offerings to locate what you're
searching for, then put it in your shopping cart.

Book cover image

Analyzing Uncertainty in Civil Engineering

Usually dispatched within 3 - 5 business days.

In Stock (517)

£ 155.99

Description

This volumeaddressestheissueofuncertaintyincivilengineeringfromdesign toconstruction. Failures do occur in practice. Attributing them to a residual risk or a faulty execution of the projectdoesnotproperlycover the range of causes. A closer scrutiny of the design, the engineering model, the data, the soil-structure-interactionand the model assumptions is required. Usually, the uncertaintiesininitialandboundaryconditionsaswellasmaterialparameters are abundant. Current engineering practice often leaves these issues aside, despite the factthatnewscienti?c tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to have a critical look atcurrent engineering riskconcepts in order to raise awareness of uncertainty in numericalcom- tations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure mechanisms and their implications forconstruction mana- ment, execution,and the juristic questionas to who has to takeresponsibility. In addition, a number ofthe new procedures for modelling uncertaintyare- plained. Our central claim is that doubts and uncertainties must be openly - dressed in the design process. This contrasts certain tendencies in the en- neering community that, though incorporating uncertainties by one or the other way in the modelling process,claim to being able tocontrol them.