The dynamic interaction between a civil infrastructure and the soil beneath is crucial for seismic risk assessment. Due to the increased computational capacity, more frequently, this problem is starting to be addressed by 3D modelling based on the finite element method (FEM). However, because of the interaction between the stresses and strains in the orthogonal directions of the soil volume, i.e. the Poisson effect, it is not trivial to achieve specific spectral ordinates at the surface of the FEM model, after propagation from the bedrock. This study introduces a novel method aimed at obtaining surface-level ground motions with specific spectral intensities by using 3D FEM models. This method integrates spectral matching, filters, deconvolution using 1D models, and frequency modulation techniques, to address misalignments between the outcomes of 1D and 3D models, particularly focusing on high-frequency spectral amplification in soil response. It has been tested by analysing two seismic scenarios, which have been characterized from a probabilistic perspective. The proposed approach ensures the development of ground motion records accurately producing specific spectral intensities at the surface, enhancing seismic risk assessments and structural analysis. The study emphasizes the importance of accurate seismic hazard characterization, providing valuable insights for earthquake engineering practices.

This paper presents a site-specific seismic ground response evaluation through convolution-deconvolution analysis in the Balaroa-Petobo area during the 2018 Palu-Donggala Indonesia earthquake. The equivalent-linear ground response analysis for the earthquake time history recorded at Balaroa was carried out using DEEPSOIL software. The results of the analysis indicate that the EW component of the earthquake motion was amplified more severely (amax) than was the NS component, as it propagated to the Petobo surface. The amplification of the bedrock motion on the Petobo surface was more serious than that on the Balaroa surface, which appears to be due to the differences in the subsurface stratification and material properties of the two sites. The Fourier spectrum and response spectra also showed greater maximum spectral accelerations (Sa,max) and maximum Fourier amplitudes (Af) at the Petobo site than at the Balaroa site. The frequency of surface soil both the Petobo and Balaroa sites computed by using comparison between response spectra analysis and the local modes analysis VS/4*H was indicated the potential decline of surface soil stiffness at Petobo area appear to account for the structural damage and liquefaction flow slides during the 2018 incident.

Quantifying the progressive failure of infrastructures under seismic excitation is crucial for accurate risk evaluation. Such analyses often necessitate detailed structural evaluations using numerous ground motion records across a range of seismic intensities. This study proposes intensifying artificial acceleration (IAA) as a novel method for approximating the seismic response of structural systems. The performance of IAA is evaluated in comparison with traditional single-record incremental dynamic analysis (IDA), employing a benchmark geostructure problem that incorporates soil/rock-structure interaction. This research assesses the efficacy and precision of IAA for nonlinear systems with and without wave propagation in the foundation. Wave deconvolution is applied to both IAA and IDA, and a damage index is calculated to quantify crack extension. Serving as a proof of concept, the results highlight a promising alignment between IAA and IDA outcomes, with IAA offering significant reductions in computational demand. The paper concludes with a conceptual framework for integrating ground motion-compatible IAAs into streamlined risk assessment processes.

In the context of soil-structure interaction analysis, the deconvolution process for computing effective earthquake loads within rock profiles holds significant importance. This study explores the implications of this process on structures founded on rock with linear response and high shear wave velocity. The structures are subjected to both real ground motions and intensifying artificial accelerations (IAA). By employing detailed nonlinear finite element simulations on a concrete dam with a massed foundation, two distinct scenarios are explored. In the first scenario, all selected motions are deconvolved to the specified depth, and the resultant equivalent nodal forces are used. The second scenario involves treating the input excitations as outcrop motions, with corresponding effective earthquake loads directly applied to the depth. The outcomes underscore that neglecting the deconvolution process for real ground motions leads to an overestimation of structural responses. The magnitude of this discrepancy remains uncertain and is influenced by ground motion aleatory variability and damping ratio. Concurrently, this paper introduces a practical framework that circumvents the deconvolution process for IAAs, while upholding an acceptable level of accuracy. The deconvolved IAAs offer simplicity of use and expedite the risk assessment process for complex geostructures.