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Michaelis-Menten Integrated TTF
DT
How long before a surface crosses from weathering to failing? We estimate it with kinetics borrowed from chemistry — modelling how contamination and degradation build over time to give a Time-to-Failure: the predicted window before a material needs intervention. It turns 'clean it sometime' into a defensible schedule.
The Michaelis-Menten Integrated Time-to-Failure (TTF) applies enzyme-kinetics mathematics — the Michaelis-Menten rate law — to the degradation of building materials, modelling how polymer and substrate breakdown saturates with colonisation density and substrate concentration. Integrated over a surface's exposure (with Arrhenius temperature scaling and deposition inputs), it yields a deterministic Time-to-Failure: the predicted interval before a material crosses its serviceability threshold. TTF is the quantity that converts ecological diagnosis into a defensible maintenance schedule.
failure emergence probability
The Michaelis-Menten Integrated Time-to-Failure (TTF) applies enzyme-kinetics mathematics — the Michaelis-Menten rate law — to the degradation of building materials, modelling how polymer and substrate breakdown saturates with colonisation density and substrate concentration. Integrated over a surface's exposure (with Arrhenius temperature scaling and deposition inputs), it yields a deterministic Time-to-Failure: the predicted interval before a material crosses its serviceability threshold. TTF is the quantity that converts ecological diagnosis into a defensible maintenance schedule.
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