A novel beam model is derived to investigate the nonlinearized bending behaviors of a two-dimensionally functionally graded (FG) beam based on the Euler–Bernoulli beam kinematic theory. The geometric nonlinearity due to the mid-plane stretching is only taken into account. For the considered two-dimensionally FG material, we assume the Young’s modulus varying along the length or axial direction obeys an exponential distribute function, and the Young’s modulus varying along the thickness direction obeys a power-law function. A generalized differential quadrature method (GDQM) is developed to calculate the linearized and nonlinearized displacements of two-dimensionally FG beams. Some illustrative examples are given to study the effects of the value of force and various material compositions on the linearized and nonlinearized deflections as well as the nonlinear deflection ratio.
Fusion Engineering and Design – Elsevier
Published: Oct 1, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera