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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Vargas Alzate, Yeudy Felipe</mods:namePart>
               </mods:name>
               <mods:name>
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                  <mods:namePart>Vaunat, Jean</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Macias Gutierrez, Andres Miguel</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Mariano, Alessandra di</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Zapata Franco, Ana Maria</mods:namePart>
               </mods:name>
               <mods:originInfo>
                  <mods:dateIssued encoding="iso8601">2024</mods:dateIssued>
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               <mods:abstract>Changes in water content under climatic actions is one important process in several geotechnical issues, such as earth-structures deformation, foundation heave/settlement or slope failures seated in the vadose zone. Under certain conditions, these changes may act as a forcing condition for the underlying saturated water column and control cyclic pore pressure at higher depths. The deterministic modelling of these effects requires considering soil-atmosphere thermo-hydro-mechanical interactions under long time high-frequency series. Associated computational cost is a limitation for this type of simulations, particularly when going to large geometry or regional analyses. This article shows two strategies to estimate the soil hydraulic response in time under climatic series handled by Fourier decomposition. These strategies present similarities with techniques used to analyse soil response under seismic actions and propose to define soil transfer functions relating the input (climatic time series) to the output (water content or suction/pore pressure variation at several depths).This research has been funded by the Spanish Research Agency (AEI) through the project with reference: TED2021-132559B-I00 – J-02970.Postprint (published version)</mods:abstract>
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               <mods:subject>
                  <mods:topic>Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Spectral analysis</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Climate change</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Transfer functions</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Predicting water content</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Soil-atmosphere interaction</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Predicting moisture levels in response to climatic variables: an approach based on spectral analysis</mods:title>
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               <mods:genre>Conference report</mods:genre>
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