Design Faster with Confidence In foundation engineering, there is often a gap between simplified hand calculations and large-scale finite element software. Engineers need a tool that is fast, practical, and easy to use for everyday projects without spending hours building complex models. RAFT-FEM™ Mat Foundation Analysis was developed to bridge that gap. The software provides rapid finite element analysis of mat foundations, pile-supported mats, and pile raft foundations, all

Transforming Pile Foundation Design Through Engineering Intelligence Modern construction projects demand more than conventional pile foundation design. Increasing structural complexity, tighter schedules, seismic requirements, and cost pressures require engineers to evaluate thousands of design possibilities efficiently while maintaining compliance with design standards. To address these challenges, ALPS Consultants has developed PILE-OP™, an advanced pile foundation optimiza

Figure. Rotated Pilecaps and Non-orthogonal strap beam grid (alps consultants, 2026) Introduction to PILE-GRID™ Overview PILE-GRID™ is an automated finite element analysis and design platform developed by ALPS CONSULTANTS to support the assessment, verification, and remedial design of pile foundation systems affected by pile construction deviations. The software was specifically created to address a practical gap in foundation engineering, where pile installation tolerances

Most swarm intelligence algorithms allow parallelization when computing the objective function. Each particle can be assigned to each worker to call the solver and return the individual objective value. The algorithm can be explained: MATLAB parfor function [x,f] = jaya_parallel(x,f,lb,ub,nPop,nVar,maxIt) for it = 1:maxIt % --- Step 1: find best/worst [f_best, idx_best] = min(f); [f_worst, idx_worst] = max(f); x_best = x(idx_best,:); x_worst = x(idx_worst,:); newx = z

When developing large, performance-oriented programs—especially in FEM and optimization—it’s critical to keep your Fortran code modular, readable, and safe. Below are four golden rules for managing subroutines and functions effectively in modern Fortran (Fortran 90+). 🔹1. Use Modules for Organization and Reusability A module is like a toolbox — it groups related variables, constants, and functions in one unit, and lets other parts of the program access them using the us

In the field of nonlinear structural analysis, the term 'geometric stiffness' has long been used to describe the additional terms that...

Inclined 2-Bar Truss with Geometric Nonlinearity and Transformation Matrix This example models a 2-bar inclined truss using the Updated...

This workbook builds a nonlinear axial truss model using the Newton-Raphson method and a bilinear elastic-plastic material model. It...

Introduction In post-tensioned (PT) concrete slab design, one subtle yet critical phenomenon is the axial restraint that develops at the...

by alpsdev When working with 3D structural elements such as beams, frames, or trusses, it is often necessary to define a local coordinate...

by alpsdev, 2025 When working with 3D truss structures , the transformation between local and global coordinates becomes crucial....

It can confuse when to use allocatable keyword when declaring dynamic arrays. We have two scenarios to declare the array here First...

The way modern Fortran provides to create matrix and vector is more convenient, let's check the example below. OUTPUT: A = 1.00000000 ...

To solve the linear system Ax = b, LAPACK provide a function dgesv() see more detail https://netlib.org/lapack/explore-html-3.6.1/d7/d3b/...

Consider this example of fix-sized and allocatable array case I: Fix-sized array Case II: Allocatable array One important thing to remark...

The code will compute and get the minimum distance between 2 sets of arbitrary numbers of points in 2D space. It also draws the lines...

OpenAI. (2024). ChatGPT (4) [Large language model]. https://chat.openai.com Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan...

Trapezoidal rule Simpson's 1/3 rule

! Main Program PROGRAM SolveLinearSystem IMPLICIT NONE REAL, DIMENSION(3, 3) :: A REAL, DIMENSION(3) :: b INTEGER :: n ! Define the...