Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or si...
E-bog
436,85 DKK
Forlag
CRC Press
Udgivet
11 januar 2023
Længde
564 sider
Genrer
Civil engineering, surveying and building
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781000804799
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets.Uniquely applies the new powerful tools of AI to concrete structural design and optimizationMulti-objective functions of concrete structures optimized either separately or simultaneouslyDesign requirements imposed by codes are automatically satisfied by constraining conditionsHeavily illustrated in color with practical design examplesThe book suits undergraduate and graduate students who have an understanding of collegelevel calculus and will be especially beneficial to engineers and contractors who seek to optimize concrete structures.