\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}
\usepackage{amsmath}
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\usepackage{mathtools}
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\usepackage{siunitx}
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\usepackage{indentfirst}
\usepackage{changepage}
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%\usepackage[usenames, dvipsnames]{color}
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%\usepackage{cite}
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%\renewcommand{\thefootnote}
\newcommand\degrees[1]{\ensuremath{#1^\circ}}
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\journal{Compoddddddddddddddddddddddddddddtes}
\bibliographystyle{elsarticle-num}
\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
這是一個假問題。
LaTeX 永遠不會在節標題之後破壞頁面,並且您有
\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 ...
唯一可行的分頁點位於“它有三個主要...”和“\noindent
按順序...”之後
所以 LaTeX 會接受它們。添加文本,您會發現問題消失了。
有些評論是有序的。
如果你使用
elsarticle
你應該不是嘗試修改他們的頁面設定、標題格式和一般樣式;所以你應該刪除geometry
,,,,,,,,caption
fullpage
setspace
fancyhdr
sectsty
你可能不喜歡
elsarticle
風格,但他們喜歡。您提交論文的期刊擁有最終決定權。該軟體包
epsfig
已經過時了大約 30 年。該包
latexsym
應替換為amssymb
.
多次加載包表示編碼馬虎。只加載你需要的包,然後一次。