menu
{ "item_title" : "Solid Mechanics with Python", "item_author" : [" Liu Gui-Rong "], "item_description" : "This comprehensive volume covers the fundamental principles of solid mechanics, focusing on the mechanical behavior of solids in two and three dimensions under various types of loads.The solids are defined in non-Cartesian coordinate systems, such as polar, cylindrical, and spherical coordinate systems.The methodology and techniques to solve solid mechanics problems are explained in detail, formulated and demonstrated with numerous examples and illustrations. Two major approaches, the stress method and the displacement method, are introduced. Python is used for formulation derivation, solving problems symbolically or numerically, and plotting results graphically.Written in Jupyter notebook format, this useful reference text offers a unified environment for theory description, code execution, and formulation, for easy reading and practicing.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/982/701/9819827019_b.jpg", "price_data" : { "retail_price" : "148.00", "online_price" : "148.00", "our_price" : "148.00", "club_price" : "148.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Solid Mechanics with Python|Liu Gui-Rong

Solid Mechanics with Python : Non-Cartesian Coordinates

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This comprehensive volume covers the fundamental principles of solid mechanics, focusing on the mechanical behavior of solids in two and three dimensions under various types of loads.

The solids are defined in non-Cartesian coordinate systems, such as polar, cylindrical, and spherical coordinate systems.

The methodology and techniques to solve solid mechanics problems are explained in detail, formulated and demonstrated with numerous examples and illustrations. Two major approaches, the stress method and the displacement method, are introduced. Python is used for formulation derivation, solving problems symbolically or numerically, and plotting results graphically.

Written in Jupyter notebook format, this useful reference text offers a unified environment for theory description, code execution, and formulation, for easy reading and practicing.

This item is Non-Returnable

Details

  • ISBN-13: 9789819827015
  • ISBN-10: 9819827019
  • Publisher: World Scientific Publishing Company
  • Publish Date: June 2026
  • Dimensions: 9.61 x 6.69 x 1.25 inches
  • Shipping Weight: 2.41 pounds
  • Page Count: 400

Related Categories

You May Also Like...

    1

BAM Customer Reviews