Yahoo Poland Wyszukiwanie w Internecie

Search results

  1. mathalino.com › reviewer › mechanics-and-strength-of-materialsAxial Deformation | MATHalino

    In the linear portion of the stress-strain diagram, the tress is proportional to strain and is given by $\sigma = E \varepsilon$ since $\sigma = P / A$ and $\varepsilon = \delta / L$, then $\dfrac {P} {A} = E \dfrac {\delta} {L}$ $\delta = \dfrac {PL} {AE} = \dfrac {\sigma L} {E}$ To use this formula, the load must be axial, the bar must have a ...

  2. 1 lis 2021 · In this study, machine learning approaches were shown to automatically predict landslide displacement trends based on time series of AE and rainfall measurements. Four established ML models were trained using measured displacement, AE and rainfall data obtained by monitoring an active landslide over several months.

  3. the load will be proportional to displacement. σ = P/A δ = PL/AE 2. The geometry of the structure must not undergo significant change when the loads are applied, i.e., small displacement theory applies. Large displacements will significantly change and orientation of the loads. An example would be a cantilevered thin rod subjected to a force ...

  4. 25 kwi 2024 · Based on the theory of time series analysis, the predicted total displacement is obtained by adding the predicted trend and periodic displacement, and the performance of landslide displacement prediction is evaluated according to the statistical results of evaluation index.

  5. • Determine the relative displacement of the free end at A with respect to the fixed end at D. The modulus of elasticity for aluminum is 10 x 10 6 psi • Solve the problem using the ( a)discrete element method, and (b) the superposition method.

  6. In this paper, time series analysis was used to decompose the cumulative displacement of landslide into a trend component and a periodic component. Then LSSVM model and GA were used to predict landslide displacement.

  7. 14 cze 2022 · Here, we present a new method to detect, quantify, and inventory changes in the surface displacement rate of slowly deforming areas, such as landslides, across regional scales. Our method uses InSAR displacement time series to identify slowly deforming areas and detect the moment that a deforming area begins to accelerate or decelerate.