The performance of retaining under various loading circumstances is dependent on the kind of backfills employed; nonetheless, several lightweight fill materials such as EPS geofoam, geoboard, fly ash, waste tyre (in various forms), and so on are widely utilised as backfill materials. The key benefits of adopting lightweight materials are a lower overall lateral force on the wall and lateral displacement of the retaining wall. Because of the growing number of automobiles, disposing of discarded tyres has become a major issue. Waste tyres are increasingly being utilised in geotechnical applications such as embankment fill, retaining walls, machine foundations, and bridge abutments. According to prior research, shredded tyre inclusion with soil is employed as backfill material for earth-retaining constructions. The most important aspect of sectional design for retaining walls is the total lateral thrust. Literature indicates that the use of waste tyres in backfill decreases the overall lateral thrust whether used as sole backfill as tyre chips or a mixture of sand tyres or when used as a compressible inclusion between the wall and the backfill. In the present work, a numerical simulation was conducted using OPTUM G2 (a computational tool based on finite elements) to examine the effect of discarded tyres as backfill material on the total lateral earth pressure for an 8-meter-high wall. Maximum surcharge pressure of 20 kPa is applied to the backfilling. The use of discarded tyres as a backfill material significantly decreases total lateral earth pressure on the wall by 50-54% compared to walls backfilled with soil, according to the current study.
The structure is said to be damaged if there is a permanent shift in the post-event natural frequency of a structure as compared with the pre-event frequency. To assess the damage to the structure, a time-frequency approach that can capture the pre-event and post-event frequency of the structure is required. In this study, to determine these frequencies, a local maximum synchrosqueezing transform (LMSST) method is employed. Through the simulation results, we have shown that the traditional methods such as the Wigner distribution, Wigner–Ville distributions, pseudo-Wigner–Ville distributions, smoothed pseudo-Wigner–Ville distribution, and synchrosqueezing transforms are not capable of capturing the pre-event and post-event frequency of the structure. The amplitude of the signal captured by sensors during those events is very small compared with the signal captured during the seismic event. Thus, traditional methods cannot capture the frequency of pre-event and post-event, whereas LMSST employed in this work can easily identify these frequencies. This attribute of LMSST makes it a very attractive method for post-earthquake damage detection. In this study, these claims are qualitatively and quantitatively substantiated by comprehensive numerical analysis.
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