Geotechnical.NEST

Nishantha Bandara, Manjriker Gunaratne - 145 pages - Language: ‎English - Publisher: ‎Momentum Press; (February, 2018).

Familiarity with geotechnical aspects of pavement engineering is essential for the practicing pavement engineer. When designing pavements, accurate characterization of the existing subgrade condition becomes a crucial task. In the past, traditional geotechnical exploration and testing methods have been used to characterize existing subgrade conditions. However, with the introduction of the Mechanistic-Empirical (ME) pavement design, there is a need for improved and more appropriate methods of subgrade characterization, for prediction of future pavement conditions with better accuracy. Hence, this handbook will present a useful tool for practicing pavement engineers.

This book focuses on rock slope stability, with sections on geological data collection, geotechnical data collection and analysis, surface water and groundwater effects, kinematic and kinetic stability analysis, rock slope stabilization techniques, and rock slope instrumentation and monitoring.

Because of the discontinuous nature of rock, the design of stable rock slopes is as much an art as it is applied engineering. Experience can only be achieved from the proper utilization of these theories of soil and rock mechanics, structural geology, and hydrology.

Rock Slope Stability is invaluable for engineering geologists, geotechnical engineers, mining engineers, civil engineers, and mine managers- as well as anyone else dedicated to engineering slopes that are stable and safe and that enable a financial return.

Michael Paluszek, Stephanie Thomas - 472 pages - Language: ‎English - Publisher :‎ Apress; 3rd edition (March, 2024).

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.

This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.

What You Will Learn: Write code for machine learning, adaptive control, and estimation using MATLAB + Use MATLAB graphics and visualization tools for machine learning + Become familiar with neural nets + Build expert systems + Understand adaptive control + Gain knowledge of Kalman Filters.

Tanvir Mustafy, Tauhid Rahman - 281 pages - Language: ‎English - Publisher: ‎Springer; (January, 2024).

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs - Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields.

The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

SeismoSoft Seismo Suite 2026 [1.42 GB] ... SeismoBuild is an innovative Finite Element package wholly and exclusively dedicated to seismic assessment and strengthening of reinforced concrete structures that is targeted to the design office. It is the only civil engineering software worldwide that is totally committed to structural assessment and retrofitting. SeismoStruct is an award-winning Finite Element package capable of predicting the large displacement behaviour of space frames under static or dynamic loading, taking into account both geometric nonlinearities and material inelasticity.

SeismoSelect is an easy and efficient way to search, select, scale and download ground motion data from different strong motion databases that are available on-line. Different criteria may be employed as the parameters of interest, with which to carry out the searches. These include a target response spectrum, different ground motion parameters (e.g. PGA, PGV, Arias or Housner Intensity), information regarding the event (e.g. magnitude, faulting style location, date) or the recording site (e.g. Vs30, epicentral distance). SeismoSignal constitutes an easy and efficient way for signal processing of strong-motion data, featuring a user-friendly visual interface and being capable of deriving a number of strong-motion parameters often required by engineer seismologists and earthquake engineers.

SeismoMatch is an application capable of adjusting earthquake accelerograms to match a specific target response spectrum, using the wavelets algorithm proposed by Abrahamson and Hancock or the algorithm proposed by Al Atik and Abrahamson. After loading some accelerograms and defining the target response spectrum, users need only to define the spectral matching algorithm, adjust the spectral matching period range, set the required tolerance and the spectral matching is executed. SeismoArtif is an application capable of generating artificial earthquake accelerograms matched to a specific target response spectrum using different calculation methods and varied assumptions. It is noted that the use of real accelerograms and spectrum matching techniques, together with records selection tools, tends to be recommended for the derivation of suites of records for use in nonlinear dynamic analysis of structures. However, in those cases where access to real accelerograms is, for whatever reason, challenging or inappropriate, then a tool such as SeismoArtif will be of pertinence and usefulness.

SeismoSpect constitutes a simple and efficient platform for signal processing that allows to create a personal library of ground motion records and save them all in a single file making it easy to handle and share large numbers of records. FRP Designer provides an efficient solution for designing FRP strengthening of reinforced concrete columns and beams by computing the strength of reinforced concrete members strengthened with FRP laminates.