Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures

By: Won?Kee Hong

Write A Review

Paperback | 7 October 2024 | Edition Number 1

At a Glance

Paperback
582 Pages

Dimensions(cm)
25.4 x 17.8 x 3.0

Paperback

RRP $120.00

$103.75

14%OFF

or 4 interest-free payments of $25.94 with

or

Ships in 5 to 6 business days

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 optimization
Multi-objective functions of concrete structures optimized either separately or simultaneously
Design requirements imposed by codes are automatically satisfied by constraining conditions
Heavily illustrated in color with practical design examples

The 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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.