2022
DOI: 10.1007/s00107-022-01838-y
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Bond strength prediction of timber-FRP under standard and acidic/alkaline environmental conditions based on gene expression programming

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Cited by 10 publications
(5 citation statements)
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“…Besides numerical techniques or conventional mathematical methods, determining the optimum parameters of a TMD is an optimization problem that can be solved by the application of optimization algorithms as well. The genetic algorithm proposed by Halland in 1992 has been increasingly applied in engineering fields of study [14], particularly in civil engineering problems [15][16][17][18][19]. This algorithm has also been widely used in finding the optimum parameters of TMDs [20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Besides numerical techniques or conventional mathematical methods, determining the optimum parameters of a TMD is an optimization problem that can be solved by the application of optimization algorithms as well. The genetic algorithm proposed by Halland in 1992 has been increasingly applied in engineering fields of study [14], particularly in civil engineering problems [15][16][17][18][19]. This algorithm has also been widely used in finding the optimum parameters of TMDs [20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Generally, machine learning and deep learning approaches are two branches of AI, where numerous studies in different areas exist in the literature [19,20]. Artificial intelligence (AI) and machine learning (ML) are being increasingly used in structural engineering applications for tasks such as structural analysis, design optimization, and predictive maintenance [21][22][23][24]. One of the key advantages of AI and ML is their ability to process vast amounts of data and generate insights that can be used to improve structural performance and reduce maintenance costs.…”
Section: Introductionmentioning
confidence: 99%
“…> > > > ; [36] R= s=Om Qy uO}UQ =@ u; QO ptLD = Q |QDW}@ |wQ}v w O@=}v V}=Ri= Qo}O FRP x@ \w@Qt |RQt \}=QW |wQ}v "Ovmv w ?wJ u}@ RQt w xDiQo Q= Qk |@ wJ xa]k |wQ Q@ FRP 'pOt |Ov@Qm}B QO |=yu=tr= R= sy C=a]k |Ov@Vt |= Q@ "CU= xOW xOv=WwB ?UJ =@ R}v FRP xOW xO=iDU= C=@U=Lt sHL uOW QDl@U |= Q@ xDi=}Vy=m |Q}op= QoDv= =@ |@amt x=Q= |QDW}@ C=}RH =@ 'xt=O= QO xm '…”
mentioning
confidence: 99%
“…}=Q[ 'u}= OwHw =@ "CU= pOt uOw@ ut}=Q}e |xOvyOu=Wv '1 R= QDtm OOa 5 Qy |= Q@ w p@k |=yVN@ QO xOW x=Q= |=yxO=O |t=tD |= Q@ pOt ?} Q[ |R}r=B pOt 0=58 u}@ |xR=@ QO " u}ov=}t "CU= xOW x@U=Lt 'xOW |iQat pOt G}=Dv T=U= Q@ "CU= xOt; CUO x@ [33] 'qwm w |DOv@ pOt 2=94 w [36] 'j}iwD w 'CU= QDnQR@ xOW |Q}oxR=Ov= Ctw=kt R= j}iwD w |R}r=B pOt 'xOW pY=L u}ov=}t xOW |Q}oxR=Ov= Q}O=kt R= QDlJwm Q=}U@ 'qwm w |DOv@ pOt |v}@V}B xm |r=L QO OOa w xOW x@U=Lt QwmPt QDt=Q=B R}v OwOLt u=tr= pOt OQwt QO u}vJty "CU= "CU= pOt pw@k p@=k CkO Qov=Wv xm 'CU= xOt; CUOx@ 0=74 O=tDa= C}r@=k p}rLD "5 `@=D [39w38] 'xRwL u}= QO x@=Wt C=ar=]t Q}=U u}vJty w ACI |Ov@pwtQi x@=Wt xDWwv 2 |x]@= Q CQwY x@ FRP ?wJ p=YD=…”
mentioning
confidence: 99%
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