\documentclass[review]{elsarticle}
%\documentclass[1p]{elsarticle}
\usepackage{geometry}
\usepackage{epsfig}
\usepackage{latexsym}
\usepackage[font={normalsize}]{caption}
\usepackage[para,flushleft]{threeparttable}
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%\usepackage{nicematrix}
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\usepackage{mathtools}
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\usepackage{changepage}
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\usepackage{tablefootnote}
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\usepackage{enumitem}
\usepackage{lineno,hyperref}
\modulolinenumbers[5]
\usepackage{tikz}
%\usepackage[normalem]{ulem}
%\usepackage[usenames, dvipsnames]{color}
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%\usepackage{cite}
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\modulolinenumbers[5]
%\renewcommand{\thefootnote}
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\journal{Compoddddddddddddddddddddddddddddtes}
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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
答案1
这是一个假问题。
LaTeX 永远不会在节标题之后断页,并且
\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 ...
唯一可行的分页点位于“它有三个主要...”和“\noindent
按顺序...”之后
所以 LaTeX 会接受它们。添加文本,你会看到问题消失。
有一些评论是合理的。
如果你使用
elsarticle
你应该不是尝试修改其页面设置、标题格式和一般样式;因此您应该删除geometry
,,,,,,caption
fullpage
setspace
fancyhdr
sectsty
你可能不喜欢
elsarticle
这种风格,但他们喜欢。而且你提交论文的期刊有最终决定权。这个封装
epsfig
已经过时大约 30 年了。该包
latexsym
应该被替换为amssymb
。
多次加载软件包意味着编码不规范。只加载你需要的软件包,然后一次。