£103.24

Springer - Service Life Prediction of Buildings Monograph

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Description

This monograph from Springer provides a detailed analysis of various approaches for predicting the service life of buildings. It is a specialized resource for professionals and researchers focusing on the longevity and maintenance of structural components, with a specific application to facade claddings. The text covers a wide range of statistical tools and mathematical models, including deterministic, factorial, stochastic, and computational models. Some of these methods are rarely applied to this specific field, offering new perspectives for studying building durability. By utilizing these models, readers can learn to identify patterns of degradation and estimate service life more accurately. This book is designed to help users analyze loss of performance through probability functions and utilize probability distributions for service life estimation. It serves as a technical guide for those working in architecture, historic preservation, and green energy technology who need to understand the long-term behavior of building materials and facades.

Key Features

Explores diverse mathematical models including deterministic, factorial, stochastic, and computational approaches for building analysis.

Provides specific methodologies for the study of facade claddings to improve structural longevity assessments.

Offers tools for the identification of degradation patterns to help predict how building materials wear over time.

Uses probability functions to assist in the analysis of performance loss within building structures.

Includes methods for service life estimation using probability distributions for more accurate long-term planning.

Introduces rarely applied statistical tools to the field of building service life prediction.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 May 2018
Listed Since
30 May 2018

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No barcode data available

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