?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Optimizing+Sensor+Paths+for+Enhanced+Damage+Detection+in+Large+Composite+Stiffened+Panels+-+A+Multi-Objective+Approach&rft.creator=Morse%2C+L&rft.creator=Giannakeas%2C+IN&rft.creator=Mallardo%2C+V&rft.creator=Sharif-Khodaei%2C+Z&rft.creator=Aliabadi%2C+MH&rft.description=This+work+proposes+a+novel+methodology+for+the+automatic+multi-objective+optimisation+of+sensor+paths+in+Structural+Health+Monitoring+(SHM)+sensor+networks+using+Archived+Multi-Objective+Simulated+Annealing+(AMOSA).+Using+all+of+the+sensor+paths+within+a+sensor+network+may+not+always+be+beneficial+and+could+impair+damage+detection+accuracy.+Knowing+which+paths+to+include%2C+and+which+to+exclude%2C+can+require+significant+prior+expert+knowledge%2C+which+may+not+always+be+available%2C+and+may+not+result+in+optimal+path+selection.+Therefore%2C+this+work+proposes+a+novel+automatic+procedure+for+optimising+sensor+paths+to+maximise+coverage+level+and+damage+detection+accuracy%2C+and+minimise+overall+signal+noise.+This+procedure+was+tested+on+a+real-world+large+composite+stiffened+panel+with+many+frames+and+stiffeners.+Compared+to+using+all+of+the+available+sensor+paths%2C+the+optimized+network+exhibits+superior+performance+in+terms+of+detection+accuracy+and+overall+noise.+It+was+also+found+to+provide+35%25+higher+damage+detection+accuracy+compared+to+a+network+designed+based+on+prior+expert+knowledge.+As+a+result%2C+this+novel+procedure+has+the+capability+to+design+high-performing+SHM+sensor+path+networks+for+structures+with+complex+geometries%2C+but+without+the+need+for+prior+expert+knowledge%2C+making+SHM+more+accessible+to+the+engineering+community.&rft.subject=Structural+Health+Monitoring+(SHM)%3B+Composites%3B+Impact+Damage%3B+Multi-Objective+Optimisation%3B+Simulated+Annealing+(SA)%3B%0D%0AArchived+Multi-Objective+Simulated+Annealing+(AMOSA)&rft.publisher=Elsevier&rft.date=2024-01-01&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++Procedia+Structural+Integrity.++(pp.+pp.+594-599).++Elsevier+(2024)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10189084%2F1%2F1-s2.0-S245232162300759X-main.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10189084%2F&rft.rights=open