AI for American-Produced Cement and Concrete
AI for American-Produced Cement and Concrete
用于美国本土水泥与混凝土生产的人工智能
By Julius Kusuma, Sebastian Ament, Eytan Bakshy, Laura McGorman, Madeline Hinkamp 作者：Julius Kusuma, Sebastian Ament, Eytan Bakshy, Laura McGorman, Madeline Hinkamp
Meta is continuing its long-term roadmap to help the construction industry leverage AI to produce high-quality and more sustainable concrete mixes, as well as those exclusively produced in the United States. Concurrent with the 2026 American Concrete Institute (ACI) Spring Convention, Meta is releasing a new AI model for designing concrete mixes – Bayesian Optimization for Concrete (BOxCrete), as well as the foundational data used to develop award-winning concrete mixes. Meta’s open source model for sustainable concrete is available today on GitHub. Meta 正在继续推进其长期路线图，旨在帮助建筑行业利用人工智能生产高质量、更可持续的混凝土配方，并推动这些产品在美国本土生产。值此 2026 年美国混凝土协会 (ACI) 春季大会之际，Meta 发布了一款用于设计混凝土配方的新型人工智能模型——混凝土贝叶斯优化模型 (BOxCrete)，以及用于开发获奖混凝土配方的基础数据。Meta 的可持续混凝土开源模型现已在 GitHub 上线。
Every year, the United States pours roughly 400 million cubic yards of concrete, enough concrete to pave a two-lane highway that circles the Earth multiple times. It’s the backbone of our bridges, data centers, highways, and homes. However, while we produce most of our ready-mix concrete domestically, we import nearly a quarter of the cement that makes it. Meta’s AI is helping change that. 美国每年浇筑约 4 亿立方码的混凝土，其总量足以铺设一条环绕地球数圈的双车道高速公路。它是我们桥梁、数据中心、高速公路和住宅的基石。然而，尽管我们大部分预拌混凝土是在国内生产的，但用于制造混凝土的水泥却有近四分之一依赖进口。Meta 的人工智能正在助力改变这一现状。
Concrete consists of a mix of cement and cementitious materials, aggregates, water, and chemical admixtures. Concrete suppliers have to design concrete mixes to meet competing requirements: strength, speed, ease of handling, cost, and sustainability. Traditional concrete mix design relies heavily on trial-and-error in the lab, engineer intuition, and decades of accumulated knowledge—a workflow that is slow and expensive to adapt. 混凝土由水泥、胶凝材料、骨料、水和化学外加剂混合而成。混凝土供应商必须设计出能够满足多重竞争性要求的配方：强度、凝固速度、易操作性、成本和可持续性。传统的混凝土配方设计严重依赖实验室的反复试验、工程师的直觉以及数十年的经验积累——这种工作流程不仅缓慢，而且调整成本高昂。
Cement is a key element of concrete, thus imported cement can have a significant impact on U.S. suppliers, stifling U.S. manufacturing, jobs and investments. While ready-mix concrete is typically produced domestically, the cement required for it is heavily imported, with roughly 20-25% of U.S. cement consumption met by imports. Additionally, cement made in the U.S. complies with U.S. performance and environmental standards that are not consistent internationally. 水泥是混凝土的关键要素，因此进口水泥会对美国供应商产生重大影响，从而抑制美国的制造业、就业和投资。虽然预拌混凝土通常在国内生产，但其所需的水泥却大量依赖进口，美国约 20-25% 的水泥消费量来自进口。此外，美国制造的水泥符合美国本土的性能和环境标准，这些标准与国际标准并不完全一致。
At the same time, ensuring products are produced domestically—a process often called reshoring — generally increases manufacturing jobs in the United States. Reshoring and related foreign direct investment (FDI) have brought over 1.1 million jobs back to the U.S. since 2020, and manufacturing has one of the highest economic multipliers; with every $1.00 spent in manufacturing adding $2.69 to the U.S. economy. The cement and concrete sector alone contributes more than $130 billion annually and supports roughly 600,000 jobs — yet imports still supply about 23% of total domestic demand. To capture more of that value at home, U.S.-based concrete producers want to incorporate more U.S.-made materials in their mixes. 与此同时，确保产品在国内生产（通常称为“回流”）通常会增加美国的制造业就业岗位。自 2020 年以来，回流和相关的外国直接投资 (FDI) 已为美国带回了超过 110 万个就业岗位，而制造业拥有最高的经济乘数之一；制造业每投入 1 美元，就能为美国经济增加 2.69 美元的产值。仅水泥和混凝土行业每年就贡献超过 1300 亿美元的产值，并支撑了约 60 万个就业岗位——然而，进口产品仍满足了约 23% 的国内总需求。为了在国内获取更多价值，美国本土的混凝土生产商希望在配方中加入更多美国制造的材料。
Different cements have different chemistries, and a mix that works perfectly with one cement might fail entirely with another. As a result, producers need a way to rapidly explore and validate new formulations without spending months in the lab. 不同的水泥具有不同的化学性质，一种在某种水泥下表现完美的配方，换用另一种水泥后可能会完全失效。因此，生产商需要一种能够快速探索和验证新配方的方法，而无需在实验室耗费数月时间。
Real-World Impact Across the U.S.
在美国各地的实际应用影响
Meta and its partners have already received a number of awards for these innovations in concrete design, including a 2025 Building Innovation Award for Best Partnership (shared with Amrize) and a Slag Cement Award in 2025 for Sustainable Concrete Project of the Year (shared with Amrize and the University of Illinois at Urbana-Champaign). But the impact of this model is also being felt through on-the-ground collaborations in several states through partnerships with large-scale concrete manufacturers and software companies. Meta 及其合作伙伴凭借这些混凝土设计创新已获得多项奖项，包括 2025 年建筑创新奖之最佳合作伙伴奖（与 Amrize 共享），以及 2025 年矿渣水泥奖之年度可持续混凝土项目奖（与 Amrize 及伊利诺伊大学厄巴纳-香槟分校共享）。但该模型的影响力也通过与大型混凝土制造商和软件公司的合作，在多个州的实地协作中得到了体现。
Illinois
伊利诺伊州
Meta has been partnering closely with the University of Illinois at Urbana-Champaign and Amrize, the largest cement and concrete manufacturer in North America, headquartered in Chicago, IL., on the implementation of AI for sustainable and domestically-produced concrete. Amrize operates 18 cement plants, 141 cement terminals and 269 ready-mix concrete sites across North America. Their scale makes them an ideal partner for demonstrating how AI can transform mix design at industrial volumes. Meta 一直与伊利诺伊大学厄巴纳-香槟分校以及总部位于伊利诺伊州芝加哥的北美最大水泥和混凝土制造商 Amrize 密切合作，共同实施人工智能在可持续和本土生产混凝土方面的应用。Amrize 在北美运营着 18 家水泥厂、141 个水泥终端和 269 个预拌混凝土站点。其规模使其成为展示人工智能如何实现工业级配方设计转型的理想合作伙伴。
Amrize recently launched a Made in America cement label, which guarantees the cement meets rigorous U.S. standards and was manufactured in the U.S. by a domestic workforce with American materials. The company also recently announced close to $1 billion of capital investments in 2026 in part to increase domestic cement production. Meta and Amrize will be presenting at the American Concrete Institute (ACI) Spring Convention, along with researchers from the University of Illinois Urbana-Champaign to further showcase our partnership leveraging AI for lower-emission, domestically-produced concrete. Amrize 最近推出了“美国制造”水泥标签，保证该水泥符合严格的美国标准，并由美国本土劳动力使用美国材料在美制造。该公司最近还宣布在 2026 年投入近 10 亿美元的资本，部分用于增加国内水泥产量。Meta 和 Amrize 将与伊利诺伊大学厄巴纳-香槟分校的研究人员一起在美国混凝土协会 (ACI) 春季大会上发表演讲，进一步展示我们利用人工智能实现低排放、本土化生产混凝土的合作伙伴关系。
Alongside the event, Meta is releasing a new AI model for designing concrete mixes, Bayesian Optimization for Concrete (BOxCrete). BOxCrete improves over Meta’s previous models with more robustness to noisy data as well as new features including the ability to predict concrete slump (an important indicator of concrete workability). Coupled with BOxCrete, Meta is releasing the foundational data used to develop the novel concrete mix used in our Rosemount, MN data center. This foundational data is the best systematic foundational data for concrete mix performance compared to other open-sourced, published datasets. Meta’s researchers have submitted a paper on BOxCrete for publication that outlines the new model, data, and the associated methodology. 在大会期间，Meta 发布了用于设计混凝土配方的新型人工智能模型——混凝土贝叶斯优化模型 (BOxCrete)。与 Meta 之前的模型相比，BOxCrete 对噪声数据具有更强的鲁棒性，并增加了包括预测混凝土坍落度（混凝土和易性的重要指标）在内的新功能。随 BOxCrete 一起，Meta 还发布了用于开发我们明尼苏达州罗斯蒙特数据中心所用新型混凝土配方的基础数据。与其他开源和已发布的数据集相比，这些基础数据是目前关于混凝土配方性能最系统化的基础数据。Meta 的研究人员已提交了一篇关于 BOxCrete 的论文，概述了该新模型、数据及相关方法。
Minnesota
明尼苏达州
In partnership with Amrize, Mortenson and the University of Illinois at Urbana-Champaign, BOxCrete was used to generate a stronger, faster-curing concrete mix that was used at scale in a site support section in one of our data center building slabs in Rosemount, MN. The AI-optimized mix was designed for one of the most demanding parts of the build: the massive concrete foundation that supports the weight of thousands of servers and cooling systems. Using domestically sourced materials, the mix reached full structural strength 43% faster than the original formula, while also reducing cracking risk by nearly 10% — proving that AI can help American producers rap 通过与 Amrize、Mortenson 和伊利诺伊大学厄巴纳-香槟分校的合作，BOxCrete 被用于生成一种强度更高、固化更快的混凝土配方，并已在我们位于明尼苏达州罗斯蒙特的数据中心建筑底板的现场支撑部分进行了大规模应用。这种经人工智能优化的配方专为建筑中最严苛的部分而设计：即支撑数千台服务器和冷却系统重量的大型混凝土基础。通过使用本土采购的材料，该配方达到完全结构强度的时间比原始配方缩短了 43%，同时将开裂风险降低了近 10%——这证明了人工智能可以帮助美国生产商快速……