Cutting-edge design tools for Civil, Structural, and Mechanical (MEP) engineers designed to reduce construction costs by at least 20%
Design+AutoCAD Dwg In Minutes
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Engineering hours are valuable. Avoid squandering them on repeatedly revising inputs using ‘Trial-And-Error’ templates.
StrSof Engineering Software
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In contrast to trial-and-error design templates, these are characterized by a systematic approach.
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The design tools operate entirely on automation and do not necessitate user input derived from the outcomes of previous runs.
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The tools for member design yield the most cost-effective design outcomes.
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The output includes a detailed design report, Bill of Quantities (BOQ), sketches, and various alternative design options to consider.
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Each design tool has the capability to conserve valuable engineering man-hours.
By using StrSof software for design of the ‘Spread Footing’, this user reduced foundation costs for a convention center, with just 26 spread footings, by over INR 1 million.
Key Attributes
StrSof Software and automated templates have gained widespread acclaim in the civil and structural engineering community. They are currently highly sought after by practicing civil and structural engineers, as well as engineering students, research scholars, software programmers, and software developer firms. The following points elucidate the factors contributing to their widespread appeal:
- In contrast to trial-and-error design templates, these are characterized by a systematic approach.
- The design tools operate entirely on automation and do not necessitate user input derived from the outcomes of previous runs.
- The tools for member design yield the most cost-effective design outcomes.
- Each design tool has the capability to conserve valuable engineering man-hours.
- Manages up to 500 load combinations and 10 support joints in a single run (baseplate, spread footing and RCC pedestal).
- Only the minimum dimensions and limiting ratios necessary for member design are needed as user input. The software autonomously calculates the final sizes.
- The results obtained are highly precise, and rounding-off of calculated values is aimed at providing conservative outcomes rather than leaning towards the unsafe side.
- The output includes detailed step-by-step calculations, dynamic formulas, references to relevant codes, a comprehensive bill of quantities (BOQ), as well as sketches/diagrams that are fully annotated with dimensions and other pertinent details.
- Utmost level of automation achievable for an engineering design template. Significantly streamlined with an intuitive user interface tailored for junior engineers, trainees, and newcomers.
- No prerequisite training is necessary to utilize these automated templates. User assistance is readily accessible on each input page for immediate support.
- Meticulously designed, maintained, and supervised by adept structural engineers hailing from prestigious institutions, boasting extensive expertise across diverse sectors.
- Adheres to rigorous design principles akin to those employed by the oil and gas industry.
The following report’s case study illustrates how StrSof templates reduce construction costs compared to other popular software or traditional ‘trial-and-error’ methods.
Testimonials
What design engineers, construction personnel, academics, research scholars, and engineering students are sharing regarding our software/templates.
Blog Posts :
Learn in detail about best practices.
The main difference between a stiffened baseplate and an unstiffened baseplate lies in their structural design and ability to resist bending moments and shear forces:
Stiffened Baseplate: This type of baseplate includes additional stiffeners, typically in the form of ribs or gussets welded to the plate. These stiffeners enhance the baseplate’s rigidity and ability to transfer loads more efficiently between the column and the foundation. Stiffened baseplates are commonly used when the column imposes significant bending moments or shear forces onto the baseplate, requiring additional stiffness to prevent excessive deflection or failure.
Unstiffened Baseplate: An unstiffened baseplate lacks these additional stiffeners. It is typically used in situations where the column loads are relatively lighter and do not induce significant bending moments or shear forces. Unstiffened baseplates are simpler in design and fabrication, often suitable for smaller or less demanding structural applications where the forces are adequately managed without the need for additional stiffening elements.
In summary, while both types serve to anchor columns to foundations, stiffened baseplates provide enhanced stiffness and load transfer capabilities, whereas unstiffened baseplates are simpler and sufficient for lighter loads and less demanding structural conditions. [...]
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Pad footings (also known as spread footings) are indeed one of the most common types of foundations used in construction, particularly for smaller to medium-sized buildings and structures. They are characterized by their relatively simple design, consisting of a single, thick concrete slab that usually supports the load from a single column. Pad footings distribute the structural loads from supported column to the soil underneath, providing stability and preventing excessive settlement.
For larger buildings or structures with heavier loads, other types of foundations like strip footings, raft foundations, or piles may be more suitable. Each type of foundation has its advantages and is chosen based on factors such as load distribution, soil bearing capacity, settlement control, and construction feasibility. Therefore, while pad footings are widespread, their prevalence varies depending on specific project needs and conditions. [...]
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Yes, a fully automated engineering design template is possible and increasingly feasible with advancements in artificial intelligence (AI) and machine learning (ML). Such templates leverage algorithms to automate the entire design process, from initial concept generation to detailed optimization and validation.
Key components of a fully automated design template include:
AI-Driven Concept Generation: Algorithms can generate and evaluate numerous design concepts based on input criteria and constraints, surpassing human capabilities in exploring a vast design space.
Optimization Algorithms: ML algorithms can optimize designs iteratively, improving performance metrics such as efficiency, cost-effectiveness, or reliability based on real-time feedback.
Simulation and Validation: Automated templates can simulate and validate designs using virtual testing environments, predicting real-world performance and behavior accurately.
Iterative Learning: By learning from previous designs and outcomes, automated templates continuously improve and refine their design processes.
While challenges such as complexity, integration with existing systems, and ensuring reliability remain, ongoing research and development are pushing the boundaries of what fully automated engineering design templates can achieve, promising significant efficiency gains and innovative solutions across industries. [...]
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