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Online Damage Detection in Structural Systems
Saeed Eftekhar Azam
€ 64.31
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Description for Online Damage Detection in Structural Systems
Paperback. Series: SpringerBriefs in Applied Sciences and Technology/PoliMI SpringerBriefs. Num Pages: 147 pages, 87 black & white illustrations, biography. BIC Classification: TGMD; TNC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 237.
This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise ... Read more
This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
147
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology/PoliMI SpringerBriefs
Number of Pages
135
Place of Publication
Cham, Switzerland
ISBN
9783319025582
SKU
V9783319025582
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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