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LimitState: GEO v3.6.1.26217 x64 [Size: 127 MB] ... This is a powerful geotechnical analysis Software. It provides unique geotechnical analysis capabilities to rapidly determine the critical failure mechanism and margin of safety for any problem. It tackles any ultimate limit state analysis or design problem involving slope stability, bearing capacity, walls, foundations, reinforced soil, or complex combined systems.

It can handle design and analysis problems of any geometry and loading conditions. No need to resort to application-specific hand calculations, spreadsheets, or software applications that attempt to automate these. It is as straightforward as conventional Limit Equilibrium methods but can model global soil failure, retaining wall stability, and bending failure. It can model supported and unsupported excavations, considering the effects of surface surcharges. Identify a wide range of failure mechanisms, including base heave and lateral instability.

B. G. Clarke ... 352 pages - Language: ‎English - Publisher: ‎CRC Press; 2nd edition (November, 2022) - AmazonSIN: B0BLY2VVLD.

The pressuremeter is a versatile piece of ground investigation equipment that can be used to test any type of soil or rock in situ. It quantifies in-situ stress, stiffness, strength and permeability – the essential properties needed to design geotechnical structures. The results are used in pressuremeter specific design methods, empirical design methods and numerical analyses.

This reference book covers the types of pressuremeter and the control equipment, methods of installation, test procedures, methods of analysis including direct and indirect methods of interpretation, and application in design. This is supported by an exemplar specification for field operations with the interpretation of the results. Engineers are given enough detail to apply the results confidently.

This comprehensive and thorough discussion of pressuremeter testing in geotechnical design draws on over forty years’ experience in geotechnical engineering. It is essential for professional and academic engineering geologists and geotechnical, civil and structural engineers involved in ground investigation and geotechnical design.

Lars Grüne,‎ Jürgen Pannek ... 456 pages - Publisher: Springer; 2nd edition (November 11, 2016) - Language: English - ISBN-10: 3319460234 - ISBN-13: 978-3319460239.

This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine―the core of any nonlinear model predictive controller―works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.