TY  - GEN
N2  - As structural engineers move further into the age of digital computation and rely more heavily on computers to solve problems, it remains paramount that they understand the basic mathematics and engineering principles used to design and analyze building structures. The analysis of complex structural systems involves the knowledge of science, technology, engineering, and math to design and develop efficient and economical buildings and other structures. The link between the basic concepts and application to real world problems is one of the most challenging learning endeavors that structural engineers face. A thorough understanding of the analysis procedures should lead to successful structures.
DO  - doi
AB  - As structural engineers move further into the age of digital computation and rely more heavily on computers to solve problems, it remains paramount that they understand the basic mathematics and engineering principles used to design and analyze building structures. The analysis of complex structural systems involves the knowledge of science, technology, engineering, and math to design and develop efficient and economical buildings and other structures. The link between the basic concepts and application to real world problems is one of the most challenging learning endeavors that structural engineers face. A thorough understanding of the analysis procedures should lead to successful structures.
T1  - Numerical structural analysis /
AU  - O'Hara, Steven E.,
AU  - Ramming, Carisa H.,
CN  - TA645
ID  - 841647
KW  - Structural analysis (Engineering)
KW  - adjoint matrix
KW  - algebraic equations
KW  - area moment
KW  - beam deflection
KW  - carry- over factor,
KW  - castigliano's theorems
KW  - cofactor matrix
KW  - column matrix
KW  - complex conjugate pairs
KW  - complex roots
KW  - conjugate beam
KW  - conjugate pairs
KW  - convergence
KW  - diagonal matrix
KW  - differentiation
KW  - distinct roots
KW  - distribution factor
KW  - eigenvalues
KW  - elastic stiffness
KW  - enke roots
KW  - extrapolation
KW  - flexural stiffness
KW  - geometric stiffness
KW  - homogeneous
KW  - identity matrix
KW  - integer
KW  - integration
KW  - interpolation
KW  - inverse
KW  - joint stiffness factor
KW  - linear algebraic equations
KW  - lower triangular matrix
KW  - matrix
KW  - matrix minor
KW  - member end release
KW  - member relative stiffness factor
KW  - member stiffness factor
KW  - moment-distribution
KW  - non-homogeneous
KW  - non-prismatic members
KW  - partial pivoting
KW  - pivot coefficient
KW  - pivot equation
KW  - polynomials
KW  - principal diagonal
KW  - roots
KW  - rotation
KW  - rotational stiffness
KW  - row matrix
KW  - second-order stiffness
KW  - shear stiffness
KW  - slope-deflection
KW  - sparse matrix
KW  - square matrix
KW  - stiffness matrix
KW  - structural flexibility
KW  - structural stiffness
KW  - symmetric transformation
KW  - torsional stiffness
KW  - transcendental equations
KW  - transformations
KW  - transmission
KW  - transposed matrix
KW  - triangular matrix
KW  - upper triangular matrix
KW  - virtual work
KW  - visual integration
SN  - 9781606504895
TI  - Numerical structural analysis /
LK  - https://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1899726
UR  - https://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1899726
ER  -