Construction modeling software is a powerful tool that can help civil engineers design, plan, and manage complex projects. However, it also comes with some significant risks that need to be addressed and mitigated. In this article, you will learn about the most common and critical challenges of using construction modeling software and how to overcome them.
One of the main risks of using construction modeling software is the quality and accuracy of the data that is inputted and processed. If the data is incomplete, outdated, inconsistent, or erroneous, the software will produce unreliable or misleading results that can compromise the project's performance, safety, and cost. Therefore, it is essential to ensure that the data sources are reliable, verified, and updated regularly, and that the software is compatible and integrated with them. Additionally, it is important to perform quality checks and audits on the data and the software outputs to identify and correct any errors or discrepancies.
Some significant risks associated with construction modeling software include potential errors in the design or modeling process, reliance on accurate data input, software compatibility issues, security concerns regarding data breaches or loss, and the need for skilled personnel to operate the software effectively.
Probably the significant aspects to the modelling software should be 1. The ability to automatically update all aspects associated with a given change. 2. The ability to capture as-constructed data as construction progresses, updating accordingly what things are rather than what they were supposed to be. 3. The ability to output a revised pdf drawing and emailing it to the relevant people for signing once a change has been done. 4. The capacity to recognise the difference between a proposed change and an approved change....... a change only becomes approved when all the paperwork has been done and not when it's updated on the software.
The risks might be significant or not to the construction is depends on the user itself. How the user understanding on the engineering principle and how they assume the structure works in reality would evaluate the risks itself to the structure. In addition with the current engineering construction software which mostly related to the finite element analysis/theory (Shell/plate theory) which will give the more accurate result compare to normal line type analysis. But the result interpretation and how it will be present in the construction drawings will be different to certain user based on how they understand the concept and principle. With the good understanding will reduce the risk to the construction and produce an efficient structure
The data that is obtained for every modeling project has to go through robust quality control before it can be utilized, otherwise, these omissions (aka human errors) will trickle to the final product and could lead to a substantial negative impact if/when the deliverables go to the next phases.
1. Data Security: Construction modeling software often requires access to sensitive project data, such as architectural plans and blueprints. It is crucial to ensure the software has robust security measures in place to protect this information from unauthorized access, hacking, or data breaches. 2. Vendor Reliability: If relying on a specific vendor or software provider, there is a risk of the vendor going out of business or discontinuing support for their product. This can lead to the need to transition to a new software. 3. User Error: Human error can occur when using any software, including construction modeling software. Mistakes in modeling can lead to inaccuracies and potential issues during the construction phase.
Another risk of using construction modeling software is the communication and collaboration among the project stakeholders. The software can generate complex and detailed models that require clear and consistent interpretation and presentation to different audiences, such as clients, contractors, regulators, and the public. Moreover, the software can facilitate the exchange and sharing of information and feedback among the project team members, but it can also create confusion and conflicts if the roles, responsibilities, and expectations are not well-defined and aligned. Therefore, it is vital to establish and maintain effective communication and collaboration protocols and platforms that enable the smooth and transparent use of the software and its outputs.
Software can make the best of the best model which we can imagine or consider but the real challenge is to make it real and to put it all in consideration regarding to the requirements
Inputs from all relevant parties need to be taken into consideration to ensure compliance to various requirements. Clear protocol should be established from the beginning to avoid rework and unnecessary revision.
Modeling doesn’t always have common knowledge. Risk is everywhere and “know” where ??. Modeling and AI machine learning are awesome tools but they will never replace local knowledge and the personal experience. I remember being amazed at how closely the USGS stream stats drainage area matched my own pains taken planimetric drawing. The thing it didn’t see was the new beaver dam upstream or the historic overtopping of the road that any local resident could tell you about and say…well that’s just common knowledge. Modeling doesn’t always have common knowledge.
In my experience the collaboration between project stakeholders, suppliers and designers are the most difficult and important task. The model shall integrate all the information in a timely manner in order to develop a proper coordination, clash detection, constructability anlaisis, and finally detailed desings on time.
Navigating the intricate landscape of construction modeling software, I've learned that the crux lies in communication and collaboration. Complex models demand clarity across various stakeholders, and without well-defined roles and streamlined protocols, the path to project success can turn labyrinthine. It's about fostering a culture where software aids in building bridges, not walls, among team members.
A third risk of using construction modeling software is the security and privacy of the data and the models that are stored and transmitted through the software. The software can contain sensitive and confidential information that can be vulnerable to unauthorized access, theft, manipulation, or sabotage by malicious actors. This can result in legal, financial, or reputational damages to the project and its stakeholders. Therefore, it is crucial to implement and enforce robust security and privacy measures and policies that protect the data and the models from internal and external threats. These include encryption, authentication, authorization, backup, recovery, and monitoring systems and procedures.
In my experience, the significant risks of using construction modeling software include potential inaccuracies in the design model that could affect construction outcomes, data security vulnerabilities, and dependency on technology that may lead to disruptions in case of software failures or compatibility issues. Additionally, user errors and inadequate training can contribute to risks in the effective utilization of the software.
In the realm of construction modeling, data is a trove of wealth and a beacon for threats. Safeguarding sensitive information against cyber threats is not just a technicality but a cornerstone of project integrity. It’s about fortifying the digital fortress while enabling seamless project flow.
Desde 2011 já utilizamos modelos de modelagem tridimensional que est?o postadas em nuvem, permitindo que fornecedores e engenharia trabalhem em várias partes de um projeto em diversos países, condiderando que primeiramente, os dados armazenados em nuvem s?o legalmente protegidos e a cybersecurity a se contratada deve ser previamente avaliada antes da contrata??o do provedor.
Strong dependence on specific software can create significant risks in the event of system failure. Teams must be ready to face these situations by having backup plans on an internal server within the company, not connected to the internet. It is also essential to have more than one backup version and to implement a method for archiving old saved versions, avoiding any redundancy of information to intelligently manage the allocated storage space for this function.
Yes, indeed. Confidential agerrements shall be suscribed with all project parties involved. Servers must be secured to protect the data to avoid not only theft but also damaged during project execution.
A fourth risk of using construction modeling software is the training and support that are required to use and maintain the software effectively and efficiently. The software can be complex and sophisticated, requiring specialized skills and knowledge to operate and troubleshoot. Moreover, the software can evolve and change over time, requiring constant updates and upgrades to keep up with the latest features and standards. Therefore, it is important to provide adequate training and support to the users and the managers of the software, both during the initial implementation and throughout the project lifecycle. This includes providing manuals, tutorials, workshops, webinars, help desks, forums, and feedback mechanisms.
O, simplemente, un soporte adecuado, cercano al usuario, directo del fabricante del software y comprometido con los objetivos del usuario. Se aprende muy bien si el dise?ador del software es quien te ense?a, te acompa?a y te ayuda durante el trabajo en tu proyecto. El método de venta de software de "ahí te va, y que te ayuden en las redes" conduce a grandes y costosos fracasos.
One of the key risks is the use of unqualified engineers to model and interpret results. On-the-job training combined with performing internal reviews leads to better outcomes, especially in tier-one consulting firms. These firms have good processes and tools. In addition, they enforce higher quality standards compared to others.
Continuous professional development on modelling a structure is needed. Created model should be verified by a competent person is needed.
Complexity in construction modeling software isn't a barrier; it's a call for empowered learning. Continuous training and accessible support turn sophisticated tools into enablers of efficiency and innovation. It’s about transforming complexity into capability.
The software is just a tool to get things done. Hence the user needs to be a person who how to use is properly and optimize its capabilities to ensure a reliable and acceptable result can be achieved. User need to have training and continuous improvement to attain & maintain competency.
A fifth risk of using construction modeling software is the innovation and adaptation that are needed to leverage the full potential and benefits of the software. The software can offer new and improved ways of designing, planning, and managing construction projects, but it can also pose new and unexpected challenges and opportunities that require creative and flexible solutions. Therefore, it is essential to foster a culture and mindset of innovation and adaptation among the users and the stakeholders of the software, that encourages experimentation, learning, and improvement. This includes seeking and applying best practices, benchmarks, and feedback from other projects and sectors that use construction modeling software.
Cuando el fabricante del software escucha al usuario que sabe bien lo que necesita, y desarrolla su programa de acuerdo con quien lo usa, el resultado es un sistema de trabajo productivo y, por tanto, rentable.
Id like to add that any tool in the wrong hands is at best ineffective and at worst down right dangerous. Any user of modelling software should not even attempt its use until they are fully proficient in doing things the long way round. without the sound understanding of basic principles, its all to regular an occurrence to see reports, drawings and designs that are simply garbage, littered with errors that would never be seen had the user a decent understanding of whether an answer should be 0.1, 10 or 1000.
Innovation and adaptation are the crucial demands of the industry and clients hence peer review in the industry makes it easy to row the boat smoothly with belongings. so as to bridge the gap between the designers and the labours.
Standards and regulations in the construction sector are constantly evolving. Software must be regularly updated to remain compliant with the latest legal and regulatory requirements. Non-compliance with these standards can lead to legal disputes and project delays.
Construction modeling software is the canvas for our industry's future, blending traditional practices with digital innovation. Embracing this change isn’t optional; it's the lifeline for growth and relevance in a market that waits for no one. It’s about nurturing a forward-thinking mindset that thrives on change.
Quick thought: In engineering, we can't just rely on the latest tech. Sure, it's cool and makes things easier, but what about old-school skills? Think about drawing on a drafting board or using a simple calculator for calculations. These basic skills keep our minds sharp and help us understand the nuts and bolts of our work. Let's not forget the fundamentals while we embrace all the fancy software. It's all about balance. Use the new stuff, but don’t forget the old ways. They make us better engineers!
Ingénieur d'Etat en Génie civil (Ouvert à toute nouvelle opportunité de collaboration)
Quel que soit le logiciel de modélisation et de calcul, le raisonnement et le bon sens de l'ingénieur concepteur sont cruciaux. Le logiciel n'est qu'un ensemble de fonctions qui calculent en fonction des donnés de base des résultats, et c'est au concepteur de bien saisir les données d'entrée selon sa perception du problème pour que le logiciel génère des résultats cohérents et plus proche de la réalité physique des phénomènes étudiés.
A critical yet often overlooked risk in using construction modeling software is the potential misinterpretation of results and the failure to cross-reference these with fundamental engineering principles. For instance, in modeling complex structures like high-rise buildings, it's imperative not to blindly trust the calculated moments, shears, and internal forces. Instead, these should be thoroughly understood in the context of the structure's overall behavior. Validating these results with approximate methods, and professional intuition is crucial. It is applicable across various disciplines in civil engineering, emphasizing the need for a balance between technological proficiency and foundational engineering knowledge.
There is hard coded resistance to the new approaches in structural engineering. Yes, everyone should have extensive knowledge in first principles or the engineering and full training on software that they are using, not only limited to input and post-processing. However, we need to stop designing like it’s still 1930 and embrace new technologies and available knowledge. As an example, look into leap that car and telecommunication industry made in last 20 years. At the same, there are no many buildings that have surpassed Empire State Building in engineering and construction advancement almost 100 years later.
Un riesgo no mencionado, y frecuentemente ignorado, es la aplicación de normas, instrucciones o recomendaciones elaboradas en otros sitios, otros climas y otros entornos. Y, sobre todo, pensadas para esas otras condiciones, diferentes de las de donde se está proyectando la solución. Un ejemplo común es el dise?o de viales, intersecciones y accesos. Parece tan sencillo, y cuando vas con el proyecto te dicen las pegas, y encima te sienta mal (“burócratas”). Con asientos como riesgo sísmico, carga de nieve, temperatura del pavimento, temperatura de los raíles ferroviarios, no hay que jugar. No se deben usar normas británicas en el sur de Espa?a, por ejemplo. Hay que saber las tripas del software, y saber modificarlas.