\documentclass[review]{elsarticle}
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\begin{document}
\begin{frontmatter}
\title{xvcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccczvvvvvvvvvvvvv}
%\tnotetext[mytitlenote]{Fully documented templates are available in the elsarticle package on %\href{http://www.ctan.org/tex-archive/macros/latex/contrib/elsarticle}{CTAN}.}
%% or include affiliations in footnotes:
\author[mymainaddress]{Fasdgggggggggemi}
\author[mysecondaryaddress]{Tosdgssdgn sdgfard}
\author[mythirdaddress]{Dosdggsdgol Yoo\corref{mycorrespondingauthor}}
\cortext[mycorrespondingauthor]{Corresponding author} \ead{dysdggggggggggggggggggggggkr}
%\ead[url]{http://fens.sabanciuniv.edu/en/people/faculty/detail/2689}
%\href{http://fens.sabanciuniv.edu/en/people/faculty/detail/2689}{E}
\address[mymainaddress]{Faasfffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffdansk, Poland}
\address[mysecondaryaddress]{Insasffffffffffff Machinery, Pafsaafolfish Academy of Sasffffffffffffffffffffffffff Pafsnd}
\address[mythirdaddress]{Departasff Architeasffse and Architecasfasfasfafeering, Yoasfaf Universasfsafasfl, South Korea}
\begin{abstract}
\noindent Predicting the mechanical properties of reinforced concretes accurately has been a concern as these attributes are generally required by design criteria. Thus, in recent years, there has been a dramatic increase in the application of machine learning algorithms to solve complicated engineering problems. Predictive models are strong solution for time consuming numerical simulations and expensive experimental works. The present study discussed the important properties of different types of reinforced concretes as well as an extensive analysis of artificial intelligence methods utilized for predicting those attributes. Key observations, challenges, and future trends are also detailed. This work is a precious resource for researchers in choosing accurate models, which match their applications. It motivates material engineers to become familiar and employ machine learning techniques applied in this field for predicting material properties of reinforced concrete structures.
\end{abstract}
\begin{keyword}
Machine learning; Data-asffffffffffffion techniques; Artificial neural network; Reinforced concrete; Mafsssssssssssssssssss
\end{keyword}
\end{frontmatter}
beam, slab, column, wall, pier
Responder1
Este é um falso problema.
O LaTeX nunca quebrará uma página logo após o cabeçalho de uma seção e você terá
\subsection{FRP laminate}
It has three main types of GFRP, CFRP, and AFRP.
\subsubsection{Near Surface Mounted (NSM) FRP reinforcing rebar}
\subsection{FRP reinforcing rebar}
\section{Experimental controlling test}
\subsection{Non-Destructive Testing (NDT)}
\subsection{Pull off test}
\subsection{Tensile strength test}
\section{Experimental study}
\subsection{Reinforced concrete structure}
\subsection{Steel structure}
\subsection{Infrastructure}
\section{Numerical investigation}
\subsection{Reinforced concrete structure}
\subsection{Steel structure}
\subsection{Infrastructure}
\section{Designing methods of FRP}
\section{Optimization methods}
\section{Machine learning algorithms}
\section{Recommendations and gaps}
\section{Conclusions}
\noindent In order ...
Os únicos pontos de quebra de página viáveis são depois de “Tem três principais…” e “ \noindentEm ordem…”
então o LaTeX os leva. Adicione texto e você verá que o problema desaparece.
Alguns comentários estão em ordem.
Se você usar
elsarticlevocê devenãotente modificar a configuração da página, formatos de legenda e, genericamente, estilos; então você deve removergeometry,caption,fullpage,setspace,fancyhdr,sectstyVocê pode não gostar
elsarticlede estilo, mas eles gostam. E é o periódico para o qual você submete seu artigo que tem a palavra final.O pacote
epsfigestá obsoleto há cerca de 30 anos.O pacote
latexsymdeve ser substituído poramssymb.
Carregar pacotes várias vezes denota negligência na codificação. Carregue apenas os pacotes que você precisa e apenasuma vez.